Social information technologies to counter infodemics CREST Research area : Core technologies for trusted quality AI systems

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Refereed journal papers　|　Refereed conference papers　|　Preprints　|　Books, book chapters, and research reports　|　Invited talks　|　Oral Presentation, Poster・demo　|　Media coverage(Press release/ News release)　|　Media coverage(Online articles)　|　Media coverage(TV / Radio)　|　Media coverage(Newspapers)　|　Media coverage(Others)　|　Patents　|　Awards　|　Others

Refereed journal papers

  1. Xin Sun, Shu Wei, Jos A Bosch, Isao Echizen, Saku Sugawara, Abdallah El Ali, "Seeing the Reasoning: How LLM Rationales Influence User Trust and Decision-Making in Fact-Checking Tasks", ACM Conference on Human Factors in Computing Systems (CHI 2026)  (CORE A*),
  2. Xin Sun, Shu Wei, Jos A Bosch, Isao Echizen, Abdallah El Ali, Saku Sugawara, "Eyes Can’t Always Tell: Fusing Eye Tracking and User Priors for User Modeling under AI Advice Condition", (ACM User Modeling, Adaptation and Personalization UMAP 2026)  (CORE A),
  3. Xin Sun, Di Wu, Sijing Qin, Isao Echizen, Abdallah El Ali, Saku Sugawara, "The ”Label Effect”: Source Bias and Alignment in Trust Assessment by Human and LLM-as-a-Judge", (ACL 2026 Main Conference) (CORE A*),
  4. H. Wang, S. Wang, C. -S. Lu and I. Echizen, "DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion", IEEE Transactions on Information Forensics and Security, doi: 10.1109/TIFS.2026.3684282 (Top-tier Journal, Q1),
  5. Ching-Chun CHANG, Yijie LIN, Isao ECHIZEN, "Cyber-Physical Steganography in Robotic Motion Control", IEICE TRANSACTIONS on Information, vol. E109-D , no. 4, 10 pages, April 2026,
  6. C. -C. Chang and I. Echizen, "Tell-Tale Watermarks for Explanatory Reasoning in Synthetic Media Forensics,", IEEE Access, vol. 14, pp. 18206-18221, 2026,
  7. Y. Lin, C. -C. Chang, H. Wang, Y. Sun and I. Echizen, "Sustainable Steganography via Neural Trojans for Geographic Satellite Remote Sensing,", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 5155-5167, 2026,
  8. M. Kuribayashi, K. Kasai, H. Umeda, M. Inamura, "Proactive Defense Against Propaganda Strategies by Malicious Cut-and-Paste Editing", IEICE Trans. Information and Systems, vol.E109-D, no.4, 2026. (in press), 2026
  9. H. Wang, C. -C. Chang, C. -S. Lu, C. Leckie and I. Echizen, "GreedyPixel: Fine-Grained Black-Box Adversarial Attack via Greedy Algorithm,", IEEE Transactions on Information Forensics and Security, vol. 20, pp. 12080-12095, 2025,
  10. T. Spinde, F. Wu, W. Gaissmaier, G. Demartini, I. Echizen, H. Giese, "Enhancing media literacy: The effectiveness of (Human) annotations and bias visualizations on bias detection,", Information Processing & Management, Volume 62, Issue 6, 2025, 104244, 2025,
  11. Le, MQ., Le, TN., Nguyen, T.V., Echizen, I, and Tran, M. T., "3DDGD: 3D Deepfake Generation and Detection Using 3D Face Meshes,", Neural Computing and Applications, vol. 37, 18091–18108, 2025,
  12. Y. Sun, C. -C. Chang and I. Echizen, "GenPure: Foundation-Model-Guided Multi-Stage Purification Framework for Black-Box Evasion of Deepfake Detectors", IEEE Access, vol. 13, pp. 173909-173922, 2025,
  13. S. Cui, H. H. Nguyen, T. -N. Le, C. -S. Lu and I. Echizen, "LookupForensics: A Large-Scale Multi-Task Dataset for Multi-Phase Image-Based Fact Verification,", IEEE Access, doi: 10.1109/ACCESS.2025.3584395, 2025,
  14. H. H. Nguyen, S. Liang, J. Yamagishi, and I. Echizen, "Navigating Real and Fake in the Era of Advanced Generative AI,", APSIPA Transactions on Signal and Information Processing, 2025,
  15. H. Felouat, H. H. Nguyen, J. Yamagishi and I. Echizen, "3DDGD: 3D Deepfake Generation and Detection Using 3D Face Meshes,", IEEE Access, 2025, doi: 10.1109/ACCESS.2025.3580950,
  16. C.-C. Chang, K. Gao, S. Xu, A. Kordoni, C. Leckie and I. Echizen, "Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery,", IEEE Access, 2025,
  17. C.-C. Chang, F.-Y. Chen, S.-H. Gu, K. Gao, H. Wang and I. Echizen, "Imitation Game for Adversarial Disillusion With Chain-of-Thought Reasoning in Generative AI,", IEEE Access, vol. 13, pp. 95085-95093, 2025,
  18. C.-C. Chang and I. Echizen, "Steganography beyond space-time with chain of multimodal AI,", Scientific Reports, 2025,
  19. S. Liang, H. Nguyen, S. Ikehata, J. Yamagishi, I. Echizen, "3D Morphable Master Face: Towards Controllable Wolf Attacks against 2D and 3D Face Recognition Systems,", APSIPA Transactions on Signal and Information Processing, 2025,
  20. M. Hirose, S. Imaizumi, H. Kiya, "Learnable Image Encryption without Key Management for Privacy-Preserving Vision Transformer", IEEE Access,
  21. W. Xu and K. Sasahara, "Domain-based user embedding for competing events on social media", Journal of Computational Social Science,
  22. Taiso Horikomi, Takayuki Mizuno, "Interaction-aware agent-based simulation of customer trajectories in retail stores with transformer architectures", 10.1038/S41598-025-22885-4,
  23. Tomonori Takahashi, Takayuki Mizuno, "Generation of synthetic financial time series by diffusion models", 10.1080/14697688.2025.2528697,
  24. Hugo Lemarchant, Hong Liu, and Yuta Nakashima, "RobustQuote: Using reference images for adver-sarial robustness", Applied Sciences , Link
  25. A. MaungMaung, I. Echizen and H. Kiya, "Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-Trained Models,", IEEE Open Journal of Signal Processing, vol. 5, pp. 902-913, 2024, doi: 10.1109/OJSP.2024.3419569,
  26. T. Ouyang, A. MaungMaung, K. Konishi, Y. Seo, I. Echizen, "Stability Analysis of ChatGPT-Based Sentiment Analysis in AI Quality Assurance,", Electronics 2024, 13(24), Dec. 2024,
  27. Zongshang Pang, Yuta Nakashima, Mayu Otani, and Hajime Nagahara, "Unleashing the Power of Contrastive Learning for Zero-Shot Video Summarization,", Journal of Imaging. vol. 10, no. 9, 229, 2024
  28. A. MaungMaung, I. Echizen and H. Kiya, "On the Security of Learnable Image Encryption for Privacy-Preserving Deep Learning,", IEEE Access,
  29. S. Hinterreiter, T. Spinde, S. Oberdörfer, I. Echizen, M. Latoschik, "News Ninja: Gamified Annotation Of Linguistic Bias In Online News,", Proceedings of the ACM Human-Computer Interaction, 32 pages, Oct. 2024,
  30. A. MaungMaung, I. Echizen and H. Kiya, "Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-Trained,", IEEE Open Journal of Signal Processing, vol. 5, pp. 902-913, 2024, doi: 10.1109/OJSP.2024.3419569,
  31. Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, and Yuta Nakashima, "A picture may be worth a hundred words for visual question answering", Electronics, September 2024, Link
  32. Taizo Horikomi, Takayuki Mizuno, "Generating In-store Customer Journeys from Scratch with GPT Architectures", The European Physical Journal B, September 2024, Link
  33. Tianwei Chen, Noa Garcia, Liangzhi Li, and Yuta Nakashima, "Exploring emotional stimuli detection in artworks: A benchmark dataset and baselines evaluation", Journal of Imaging, June 2024, Link
  34. R. Iijima, S. Shiota and H. Kiya, "A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense,", IEEE Access, vol. 12, pp. 69206-69216, 2024, doi: 10.1109/ACCESS.2024.3400958, May 2024, Link
  35. Teru Nagamori, Sayaka Shiota and Hitoshi Kiya, "Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer", APSIPA Transactions on Signal and Information Processing: Vol. 13: No. 1, e8, Apr. 2024, Link
  36. H. Felouat, H. H. Nguyen, T. -N. Le, J. Yamagishi and I. Echizen, "eKYC-DF: A Large-Scale Deepfake Dataset for Developing and Evaluating eKYC Systems", IEEE Access, vol. 12, pp. 30876-30892, 2024, Link
  37. K. -D. Nguyen, H. H. Nguyen, T. -N. Le, J. Yamagishi and I. Echizen, "Analysis of Fine-Grained Counting Methods for Masked Face Counting: A Comparative Study", IEEE Access, vol. 12, pp. 27426-27443, 2024, Link
  38. Yuta Nakashima, Yusuke Hirota, Yankun Wu, and Noa Garcia, "Societal bias in vision-and-language datasets and models", Journal of the Imaging Society of Japan, December, 2023, Link
  39. P. Ghasiya, G. Ahnert, K. Sasahara, "Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter", ISocial Media + Society. 9, 20563051231199457 (2023), Link
  40. C. C. Chang, H. H. Nguyen, J. Yamagishi, and I. Echizen, "Cyber Vaccine for Deepfake Immunity", IEEE Access, 14 pages, 2023
  41. P. Ghasiya and K. Sasahara, "Messaging Strategies of Ukraine and Russia on Telegram during the 2022 Russian invasion of Ukraine", First Monday 28(8) (2023), Link
  42. Yi Ji, Trung-Nghia Le, Huy H. Nguyen, Isao Echizen, "Purifying Adversarial Images using Adversarial Autoencoders with Conditional Normalizing Flows," IEEE Open Journal of Signal Processing, 2023
  43. M. Kuribayashi, T. Yasui, A. Malik, "White box watermarking for convolution layers in fine-tuning model using the constant weight code," Journal of Imaging, vol.9, no.6, 117, 2023, Link
  44. Xuechen Liu, Xin Wang, Md Sahidullah, Jose Patino, Héctor Delgado, Tomi Kinnunen, Massimiliano Todisco, Junichi Yamagishi, Nicholas Evans, Andreas Nautsch, Kong Aik Lee, "ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild", IEEE/ACM Transactions on Audio Speech and Language Processing 10.1109/TA SLP.2023.3285283, June 2023
  45. Bowen Wang, Liangzhi Li, Yuta Nakashima, Ryo Kawasaki, and Hajime Nagahara, "Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory" BMC Medical Informatics and Decision Making https://doi.org/10.1186/s12911-02-02160-0, May 2023,
  46. CC Chang, X Wang, S Chen, H Kiya, I Echizen, "On the predictability in reversible steganography", Telecommunication Systems, Springer, 1-13, January 2023, Link
  47. L. Zhang, X. Wang, E. Cooper, N. Evans and J. Yamagishi, “The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Link
  48. Mauro Barni, Yi Fang, Yuhong Liu, Laura Robinson, Kazutoshi Sasahara, Subramaniam Vincent, Xinchao Wang and Zhizheng Wu, "Combating Misinformation/ Disinformation in Online Social Media: A Multidisciplinary View", APSIPA Transactions on Signal and Information Processing (2022), Link
  49. Ching-Chun Chang, Xu Wang, Sisheng Chen, Isao Echizen, Victor Sanchez, Chang-Tsun Li, "Deep Learning for Predictive Analytics in Reversible Steganography", IEEE ACCESS, Preprint
  50. K. Gao, C.-C. Chang, J.-H. Horng, and I. Echizen, "Steganographic Secret Sharing via AI-Generated Photorealistic Images" EURASIP Journal on Wireless Communications and Networking
  51. Yuki Hirose, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi, "Anonymization of Human Gait in Video Based on Silhouette Deformation and Texture Transfer", IEEE Transactions on Information Forensics and Security, vol.17, pp.3375-3390
  52. Mahdi Khosravy, Kazuaki Nakamura, Naoko Nitta, Nilanjan Dey, Rubén González Crespo, Enrique Herrera-Viedma, Noboru Babaguchi, "Social IoT Approach to Cyber Defense of a Deep-Learning-Based Recognition System in Front of Media Clones Generated by Model Inversion Attack", IEEE Transactions on Systems, Man, and Cybernetics: Systems
  53. Chang Zeng, Xiaoxiao Miao, Xin Wang, Erica Cooper, and Junichi Yamagishi, "Joint Speaker Encoder and Neural Back-end Model for Fully End-to-End Automatic Speaker Verification with Multiple Enrollment Utterances", IEEE/ACM Transactions on Audio Speech and Language Processing, submitted, preprint
  54. Takayuki Mizuno, Shouji Fujimoto and Atsushi Ishikawa, "Generation of individual daily trajectories by GPT-2", Front. Phys. Link
  55. Shouji Fujimoto, Atsushi Ishikawa, Takayuki Mizuno, "Copula-based synthetic data generation in firm-size variable", The Review of Socionetwork Strategies 16, 479–492, Link
  56. T. Yasui, T. Tanaka, A. Malik, M. Kuribayashi, "Coded DNN watermark: robustness against pruning models using constant weight code", Journal of Imaging, vol.8, no.6, 16pages, 2022
  57. Hitoshi Kiya, Ryota Iijima, MaungMaung Aprilpyone, Yuma Kinoshita, "Image and Model Transformation with Secret Key for Vision Transformer", IEICE Trans. Inf. & Sys., March, 2023 (Invited), Preprint
  58. Piyush Ghasiya and Kazutoshi Sasahara, "Rapid Sharing of Islamophobic Hate on Facebook: The Case of the Tablighi Jamaat Controversy", IC2S2 2022, July 2022, Link
  59. Jialiang Shi, Piyush Ghasiya and Kazutoshi Sasahara, "Psycho-linguistic Differences among Competing Vaccination Communities on Social Media", APSIPA Transactions on Signal and Information Processing: Vol.11, No.1, e15, June 2022, Link
  60. Wentao Xu and Kazutoshi Sasahara, "A Network-Based Approach to QAnon User Dynamics and Topic Diversity During the COVID-19 Infodemic", APSIPA Transactions on Signal and Information Processing, Vol.11, No.1, e17, June 2022, Link
  61. Hiroki Ito, AprilPyone MaungMaung, Sayaka Shiota, and Hitoshi Kiya, "Access Control of Semantic Segmentation Models Using Encrypted Feature Maps", APSIPA TSIP, accepted, 2022, Preprint
  62. AprilPyone MaungMaung, Hitoshi Kiya, "Privacy-Preserving Image Classification Using Isotropic Network", IEEE MultiMedia, accepted, April 2022, Preprint
  63. Huy H. Nguyen, Sébastien Marcel, Junichi Yamagishi. Isao Echizen, "Master Face Attacks on Face Recognition Systems", IEEE TBIOM, accepted, April 2022, Link
  64. Asad Malik, Minoru Kuribayashi, Sani M. Abdullahi, Ahmad Neyaz Khan, "DeepFake Detection for Human Face Images and Videos: A Survey", IEEE Access, vol.10, pp.18757-18775, 2022, Link
  65. Hitoshi Kiya, AprilPyone MaungMaung, Yuma Kinoshita, Imaizumi Shoko, Sayaka Shiota, "An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications", APSIPA Transactions, accepted, 2022, Preprint
  66. Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi, Isao Echizen, "Effects of Image Processing Operations on Adversarial Noise and Their Application to Detecting and Correcting Adversarial Images," IEICE Trans. Inf. Syst., vol.E105-D, no.1, 2022.
  67. Mahdi Khosravy, Kazuaki Nakamura, Yuki Hirose, Naoko Nitta, and Noboru Babaguchi, "Model Inversion Attack by Integration of Deep Generative Models: Privacy- Sensitive Face Generation From a Face Recognition System", IEEE Transactions on Information Forensics and Security,10.1109/TIFS.2022.31406 87 Vol.17, published, January 2022.
  68. X. Shi, E. Cooper and J. Yamagishi, "Use of Speaker Recognition Approaches for Learning and Evaluating Embedding Representations of Musical Instrument Sounds", IEEE/ACM Transactions on Audio, Speech, and Language Processing 10.1109/TASLP.2022.314 0549, published, January 2022.
  69. Huy H. Nguyen, Sebastien Marcel, Junichi Yamagishi, and Isao Echizen, "A Study of Master Face Attacks on Face Recognition Systems", IEEE TRANSACTIONS ON BIOMETRICS, BEHAVIOR, AND IDENTITY SCIENCE (T-BIOM), January 2022.
  70. Zhenzhong Kuang, Zhiqiang Guo, Jinglong Fang, Jun Yu, N.Babaguchi, and Jianping Fan, "Unnoticeable synthetic face replacement for image privacy protection", Neurocomputing 10.1016/j.neucom.2021.06.061,
  71. Shouji Fujimoto, Takayuki Mizuno, Atushi Ishikawa, "Interpolation of non-random missing values in financial statements’ big data using CatBoost", IEEE/ACM Transactions on Audio, Speech, and Language Processing 10.1109/TASLP.2021.313 8681, published, December, 2021>
  72. A. Kanervisto, V. Hautamäki, T. Kinnunen and J. Yamagishi, "Optimizing Tandem Speaker Verification and Anti-Spoofing Systems" Journal of Computational Social Science, published, March, 2021>
  73. Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, Minh-Quan Le, Khanh-Duy Nguyen, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen, "Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite", IEEE Transactions on Image Processing (T-IP), accepted, 2021, Preprint
  74. Xu Wentao and Kazutoshi Sasahara, "Characterizing the roles of bots on Twitter during the COVID-19 infodemic", Journal of Computational Social Science, accepted, 2021, Preprint, Link
  75. Sisheng Chen, Ching-Chun Chang, and Isao Echizen, "Steganographic Secret Sharing with GAN-Based Face Synthesis and Morphing for Trustworthy Authentication in IoT," IEEE Access, accepted, 2021, Link
  76. Thach V. Bui, Mahdi Cheraghchi, and Isao Echizen, "Improved non-adaptive algorithms for threshold group testing with a gap", IEEE Transactions on Information Theory, accepted, 2021, Link
  77. April Pyone MAUNG MAUNG, Hitoshi KIYA, "A protection method of trained CNN model with a secret key from unauthorized access", APSIPA Transactions on Signal and Information Processing, Vol.10, July 2021, Link
  78. Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi, Kensuke Fujii, Satoki Matsumura, and Eiji Nabata, "Semi-Supervised Temporal Segmentation of Manufacturing Work Video by Automatically Building a Hierarchical Tree of Category Labels", IEEE Access 10.1109/ACCESS.2021.30 76849, April 2021,
  79. Akiko Matsuo, Baofa Du and Kazutoshi Sasahara, "Appraisals of Fairness moral foundation predicts the language use involving moral issues on Twitter among Japanese", Frontiers in Psychology, accepted, 2021
  80. April Pyone MAUNG MAUNG, Hitoshi KIYA, "Block-wise Image Transformation with Secret Key for Adversarially Robust Defense" IEEE Trans. on Information Forensics and Security, in press, March 2021, Link
  81. Mahdi Khosravy, Kazuaki Nakamura, Yuki Hirose, Naoko Nitta, Noboru Babaguchi, "Model Inversion Attack: Analysis under Gray-box Scenario on Deep Learning based Face Recognition System", KSII Transactions on Internet and Information Systems, Vol.15, No.3, pp.1100-1118, March 2021, Link

Refereed conference papers

  1. W. Ran, Q. Zhu, M. Cao, W. Yuan, I. Echizen, and Y. Zheng, “Machine Vision-Oriented Appearance Design: Generate Natural And Robust Textures For 3D Meshes,”, CVPR 2026 Findings, 2026,
  2. H. Felouat, H. Wang, and I. Echizen, "GFT-GCN: Privacy-Preserving 3D Face Mesh Recognition with Spectral Diffusion", WACV 2026, 2026,
  3. F. Waseda, A. Tejero-de-Pablos, and I. Echizen, "Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships", WACV 2026, 2026,
  4. S. Cui, R. Chu, H. Wang, P. H. Chen, C.-C. Chang and I. Echizen, “An 8-Way Taxonomy for Multimodal Disinformation and Detection Benchmark,”, WWW 2026, Short paper, 2026,
  5. F. Waseda, S. Sugawara, I. Echizen, "Quality Text, Robust Vision: The Role of Language in Enhancing Visual Robustness of Vision-Language Models,", ACMMM, 2025,
  6. T. Spinde, L. Lin, S. Hinterreiter, and I. Echizen, "Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias", ICWSM, 2025,
  7. S. Hinterreiter, M.Wessel, F. Schliski, I. Echizen, M. E. Latoschik, and T. Spinde, " NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback", ICWSM, 2025,
  8. F. Waseda, C.-C. Chang, and I. Echizen, "Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off", ICLR 2025, 2025,
  9. T. C. Nguyen, H. Wang, and I. Echizen, “Black-box Backdoor Attack on Continual Semi-Supervised Learning for Time-series IoT Systems,”, IJCNN 2026, 2026,
  10. R. Shukla, C. Sejgaya, K. Kushavaha, H. Kaur, and I. Echizen, “RidgeFusion: Frequency-Split Conditioning for Diffusion-Based Contactless Fingerprint Rendering,”, IJCNN 2026, 2026,
  11. C. Zhu, X. Zhang, Y. Sun, C.-C. Chang, and I. Echizen, “AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era,”, the 1st on Deepfake Forensics Workshop: Detection, Attribution, Recognition, and Adversarial Challenges in the Era of AI-Generated Media (DFF '25), ACMMM Workshop 2025, 2025,
  12. Y. Sun, C. -C. Chang, I. Echizen, "GenPure: Evasion of Generative AI Forensics via Foundation Model-Based Purification of Spatial Artifacts and Latent Discrepancies,", IEEE SMC 2025,
  13. Y. Nii, F. Waseda, C. -C. Chang and I. Echizen, "Uncolorable Examples: Preventing Unauthorized AI Colorization via Perception-Aware Chroma-Restrictive Perturbation,", 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Singapore, Singapore, 2025, pp. 2523-2528,
  14. S. Cui, P. Navas, H. Wang, C.-C. Chang, H. H. Nguyen, I. Echizen, "A Multilingual, Multimodal Dataset for Disinformation and Out-of-Context Analysis with Rich Supportive Information,", ICMI 2025,
  15. Y. Ji, T. Ji, H. Liu, and I. Echizen, "ADVERSARIAL IMAGE PURIFICATION BY EXPLAINING ADVERSARIAL DETECTORS,", IEEE ICIP 2025,
  16. R. Shukla, H. Kaur, and I. Echizen, "Analyzing Face Image Inpainting with Attribute-Driven Generative Network", IJCNN 2025,
  17. Giovanni Pio Delvecchio, Huy HongNguyen, Isao Echizen, "Zero-Shot Warning Generation for Misinformative Multimodal Content,", Proc. 2025 WACV Workshop on Artificial Intelligence for Multimedia Forensics and Disinformation Detection (WACVW 2025), February 2025,
  18. T. Sano, M. Kuribayashi, M. Sakai, S. Isobe, E. Koizumi, "Ownership Verification of DNN Models Using White-Box Adversarial Attacks with Specified Probability Manipulation" The 33rd European Signal Processing Conference (EUSIPCO 2025), pp.795-799, 2025,
  19. A. Berns, R. Akai, M. Kuribayashi, R. Cogranne, "Layer-Wise Weight Statistics for Node Classification and Defense of Federated Large Language Models" Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2025), pp.2147-2152, 2025,
  20. T. Sano, M. Kuribayashi, M. Sakai, S. Isobe, E. Koizumi, Z. Zhang, "Robust Ownership Verification of DNN Models Against JPEG Compression via Probability-Controlled Adversarial Attacks" Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2025), pp.2135-2140, 2025,
  21. Yiwei Liu, Emma Jane Pretty, Jiahao Huang, Saku Sugawara, TactfulToM, "Do LLMs have the Theory of Mind Ability to Understand White Lies?" Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), November 2025,
  22. Wen Huang, Xuechen Liu, Xin Wang, Junichi Yamagishi, Yanmin Qian, "From Sharpness to Better Generalization for Speech Deepfake Detection" Interspeech 2025, August 2025,
  23. Wanying Ge, Xin Wang, Junichi Yamagishi, "Proactive Detection of Speaker Identity Manipulation with Neural Watermarking", ICLR 2025 Workshop on GenAI Watermarking,
  24. E. Bao, C. C. Chang, H. Wang, I. Echizen, "Purification-Agnostic Proxy Learning for Agentic Copyright Watermarking against Adversarial Evidence Forgery," Proc. 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025), Apr. 2025, Link
  25. R. Shulka, H. PKaur, I. Echizen, "Parallel Prints: Generating Realistic Cancelable Fingerprint Templates", Proc. 2025 WACV Workshop on Synthetic Realities and Data in Biometric Analysis and Security (WACVW 2025), February 2025,
  26. Y. Kotsuji and K. Nakamura, "Defense against Model Inversion Attacks Using a Dummy Recognition Model Trained with Synthetic Samples," Proc. International Conference on Computer Vision Theory and Applications (VISAPP2025), pp.883-892, February 2025, 2025
  27. Giovanni Pio Delvecchio, Huy HongNguyen, Isao Echizen, "Zero-Shot Warning Generation for Misinformative Multimodal Content,", Proc. 2025 WACV Workshop on Artificial Intelligence for Multimedia Forensics and Disinformation Detection (WACVW 2025), February 2025,
  28. Chia-Hua Wu, Wanying Ge, Xin Wang, Junichi Yamagishi, Yu Tsao, Hsin-Ming Wang, "A Comparative Study on Proactive and Passive Detection of Deepfake Speech", Interspeech 2025, 2024,
  29. Chang Zeng, Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, "Spoofing-Aware Speaker Verification Robust Against Domain and Channel", 2024 IEEE Spoken Language Technology Workshop (SLT) 10.1109/SLT61566.2024.10832246, Jan. 2025,
  30. Kosei Suyama and Kazuaki Nakamura, "Detoxification of Unlabeled Dataset: Reducing Implicit Class Imbalance Using Pseudo-Jacobian of GAN's Generator", Proc. 31st International Conference on Multimedia Modeling (MMM), 2025, Jan. 2025,
  31. H-Quoc Nguyen-Son, S. Hidano, K. Fukushima, S. Kiyomoto, I. Echizen, "OneWORD: Adversarial Text Detection and Prediction Restoration Using One-Word Perturbation," Proc. 31st International Conference on Neural Information Processing (ICONIP 2024), Dec. 2024,
  32. F. Hsieh, H. H. Nguyen, A. MaungMaung, D. Usynin, I. Echizen, "Mitigating Backdoor Attacks using Activation-Guided Model Editing,", Proceedings of the Asian Conference on Computer Vision (ACCV) Workshops, 2024, pp. 302-318 , Dec. 2024, Link
  33. Y. Ji, I. Echizen, "StrucTrans: Zero-Query Structural Adversarial Attack Transferred from Masked Autoencoders to Image Classifiers,", Proc. the 23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2024) , Dec. 2024,
  34. R. Disabato, A. MaungMaung, H. Nguyen, I. Echizen, "Transfer-Based Adversarial Attack Against Multimodal Models by Exploiting Perturbed Attention Region", Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2024 , Dec. 2024,
  35. H-Quoc Nguyen-Son, S. Hidano, K. Fukushima, S. Kiyomoto, I. Echizen, "CheckHARD: Checking Hard Labels for Adversarial Text Detection, Prediction Correction, and Perturbed Word Suggestion", Proc. 31st International Conference on Neural Information Processing (ICONIP 2024) , Dec. 2024,
  36. Yusuke Hirota, Jerone Andrews, Dora Zhao, Orestis Papakyriakopoulos, Apostolos Modas, Yuta Nakashima, Alice Xiang, "Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes,", Proc. 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2024, Link
  37. Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima, "From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment,", Proc. 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2024, Link
  38. Warren Leu, Yuta Nakashima, and Noa Garcia, "Auditing Image-based NSFW Classifiers for Content Filtering", Proc. 2024 ACM Conference on Fairness, Accountability, and Transparency, pp. 1163-1173, 2024
  39. Bowen Wang, Jiuyang Chang, Yiming Qian, Guoxin Chen, Junhao Chen, Zhouqiang Jiang, Jiahao Zhang, Yuta Nakashima, and Hajime Nagahara, "DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models", Proc. Annual Conference on Neural Information Processing Systems, 2024
  40. Yankun Wu, Yuta Nakashima, Noa Garcia, "Stable Diffusion Exposed: Gender Bias from Prompt to Image", Proc. AAAI/ACM Conference on AI, Ethics, and Society, pp. 1648-1659, 2024
  41. M. Pandey, H. Kaur, I. Echizen, "Enhancing Location Privacy through Prioritized Experience Replay in Deep Q-Networks,", Proc. of the IEEE International Conference on Systems, Man, and Cybernetics IEEE (SMC) 2024, 7 pages, Oct. 2024, Link
  42. R. Shukla, H. Kaur, I. Echizen, "Bridging the Gap: Creating Authentic Biometric Templates for Secure Authentication Systems,", Proc. of the IEEE International Conference on Systems, Man, and Cybernetics IEEE (SMC) 2024, 8 pages, Oct. 2024,
  43. L. Strack, F. Waseda, H. H. Nguyen, Y. Zheng, I. Echizen, "Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection,", Proc. of the 2024 IEEE International Conference on Image Processing (ICIP 2024), 7 pages, Oct. 2024, Link
  44. C. Zhu, X. Zhang, Y. Sun, C.-C. Chang, and I. Echizen, "UAnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era", DFF'25, ACMMM 2025 Workshop, October, 2025,
  45. Y. Nii, F. Waseda, C.-C. Chang, and I. Echizen, "Uncolorable Examples: Preventing Unauthorized AI Colorization via Perception-Aware Chroma-Restrictive Perturbation", APSIPA ASC 2025, (Best Paper Finalists), October, 2025,
  46. A. Paivansalo, C.-C. Chang, H. Wang, F. Waseda, I. Echizen, "Allegory of the Cave: Breakdown of Illusions in Multimodal Perception with Neural Radiance Fields", APSIPA ASC 2025, October, 2025,
  47. Xuechen Liu, Xin Wang, Junichi Yamagishi, "A Preliminary Study on Long-Form In-the-Wild Audio Spoofing Detection", 2024 International Conference of the Biometrics Special Interest Group (BIOSIG), 10.1109/BIOSIG61931.2024.10786724, September 2024,
  48. Y. Sun, H. Nguyen, C.-S. Lu, Z. Zhang, L. Sun, I. Echizen, "Generalized Deepfakes Detection with Reconstructed-Blended Images and Multi-scale Feature Reconstruction Network", Proc. of the International Joint Conference on Biometrics (IJCB2024), 10.1109/BIOSIG61931.2024.10786724, September 2024, Link
  49. Huy H. Nguyen, Junichi Yamagishi, Isao Echizen, "Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis", 2024 IEEE International Joint Conference on Biometrics (IJCB), 10.1109/IJCB62174.2024.10744497, September 2024,
  50. Y. Qiu, H. Nguyen, Q. Liao, C.-S. Lu, I. Echizen, "Analysis of Backdoor Attacks on Deepfake Detection", Proc. of the International Joint Conference on Biometrics (IJCB2024), September 2024,
  51. Y. Furuhashi, J. Yamagishi, X. Wang, H. Nguyen, I. Echizen, "Exploring Active Data Selection Strategies for Continuous Training in Deepfake Detection", Proc. of the 23rd International Conference of the Biometrics Special Interest Group (BIOSIG 2024), September 2024,
  52. Nicolas Jonason, Xin Wang, Erica Cooper, Lauri Juvela, Bob L. T. Sturm, Junichi Yamagishi, "DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input", 2024 Digital Audio Effects Conference (DAFx), September 2024, Link
  53. W. Liu, S. Liang, H. H. Nguyen, and I. Echizen, "A Controllable 3D Deepfake Generation Framework with Gaussian Splatting", IEEE International Joint Conference on Biometrics (IJCB 2025), 10 pages, 2024, September, 2025,
  54. Anh-Khoa Vo and Yuta Nakashima, "Tone classification for political advertising video using multi-modal cues", Proc. 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval , 2025, Link
  55. Kosei Suyama and Kazuaki Nakamura, "Reducing Implicit Class Imbalance in Unlabeled Datasets Using Text-Specified Sensitive Attributes", Proc. of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2025) , 2025,
  56. Junhao Chen, Bowen Wang, Zhouqiang Jiang, and Yuta Nakashimaq, "Putting people in llms’shoes:Generating better answers via question rewriter", Proc. the AAAI Conference on Artificial Intelli-gence https://doi.org/10.1609/aaai.v39i22.34527 , 2025,
  57. Hikaru Mori and Kazuaki Nakamura, "Label-Only Model Inversion Attacks with Query-Free Training of Conditional Diffusion-Based Attack Model", Proc. IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS2025) 10.1109/AVSS65446.2025.11149977 , 2025,
  58. Junsuke Takano and Kazuaki Nakamura, "Detoxification of Poisoned Recognition Models by Fine-tuning with Out-of-Distribution Samples", Proc. of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2025) , 2025,
  59. Premtim Sahitaj, Iffat Maab, Junichi Yamagishi, Jawan Kolanowski, Sebastian Möller, Vera Schmi, "Towards Automated Fact-Checking of Real-World Claims: Exploring Task Formulation and Assessment with LLMs", ROMCIR 2025: The 5th Workshop on Reducing Online Misinformation through Credible Information Retrieval, ECIR 2025: THE 47TH EUROPEAN CONFERENCE ON INFORMATION RETRIEVAL, April 2025, Link
  60. S. Hinterreiter, M. Wessel, F. Schliski, I. Echizen, M. E. Latoschik, T. Spinde, "NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback", Proc. of the International AAAI Conference on Web and Social Media (ICWSM 2025), 19 pages, June 2024, Link
  61. Hong Liu, Yuta Nakashima, and Noboru Babaguchi, "PALADIN: Understanding video intentions in political advertisement videos", Proc. IEEE Winter Conference on Applications of Computer Vision(WACV) 0.1109/WACV61041.2025.00799 , February 2024,
  62. Patrick Ramos, Nicolas Gonthier, Selina Khan, Yuta Nakashima, and Noa Garcia, "No annotations for object detection in art through stable diffusion", Proc. IEEE Winter Conference on Applications of Computer Vision (WACV) 10.1109/WACV61041.2025.00607 , February 2024,
  63. Tianwei Chen, Noa Garcia, Liangzhi Li, and Yuta Nakashima, "Retrieving emotional stimuli in artworks", Proc. 2024 International Conference on Multimedia Retrieval (ICMR) , May 2024, Link
  64. YankunWu, Yuta Nakashima, Noa Garcia, Sheng Li, and Zhaoyang Zeng, "Reproducibility companion paper: Stable diffusion for content-style disentanglement in art analysis", Proc. 2024 International Conference on Multimedia Retrieval (ICMR) , May 2024, Link
  65. Shirin Dabbaghi, Canasai Kruengkrai, Ramin Yahyapour, Junichi Yamagishi, "Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model", 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 2024,
  66. Lin Zhang, Xin Wang, Erica Cooper, Mireia Diez, Federico Landini, Nicholas Evans, Junichi Yamagishi, "Spoof Diarization: “What Spoofed When” in Partially Spoofed Audio,", Interspeech 2024, June 2024, Link
  67. X. Wang and J. Yamagishi, "Can Large-Scale Vocoded Spoofed Data Improve Speech Spoofing Countermeasure with a Self-Supervised Front End?,", ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 10311-10315, doi: 10.1109/ICASSP48485.2024.10446331, April 2024
  68. A. MaungMaung, H. H. Nguyen, H. Kiya, "Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation,", Proc. of the 2024 IEEE International Conference on Image Processing (ICIP 2024), 7 pages, Link
  69. X. Wang and J. Yamagishi, "Spoofing Attack Augmentation: Can Differently-Trained Attack Models Improve Generalisation?", 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024) 10.1109/ICASSP48485.2024.10448016, Apr. 2024, Link
  70. Wanying Ge, Xin Wang, Junichi Yamagishi, Massimiliano Todisco, Nicholas Evans, "Can Large-Scale Vocoded Spoofed Data Improve Speech Spoofing Countermeasure with a Self-Supervised Front End?", ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 10311-10315, doi: 10.1109/ICASSP48485.2024.10446331, Apr. 2024, Link
  71. Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, Nicholas Evans, Massimiliano Todisco, Jean-François Bonastre, Mickael Rouvier, "SynVox2: Towards a privacy-friendly VoxCeleb2 dataset", 2024 IEEE International Conference on Acoustics, Speech, and Signal, 10.1109/ICASSP48485.2024.10446513, Apr. 2024, Link
  72. T. Chen, Y. Hirota, M. Otani, N. Garcia, and Y. Nakashima, "Would Deep Generative Models Amplify Bias in Future Models?", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024,
  73. F. Baldassini, H. H. Nguyen, C.-C. Chang, I. Echizen, "CROSS-ATTENTION WATERMARKING OF LARGE LANGUAGE MODEL", Proc. of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), 5 pages, April 2024
  74. F. Shalabi, H. Felouat, H. H. Nguyen, I. Echizen, "Leveraging Chat-Based Large Vision-Language Models for Multimodal Out-of-Context Detection", Proc. of the 38-th International Conference on Advanced Information Networking and Applications (AINA-2024), April 2024
  75. Z. Dou, Y. Guo, H. H. Nguyen, C.-C. Chang, I. Echizen, "Enhancing Robustness of LLM-Synthetic Text Detectors for Academic Writing: A Comprehensive Analysis", Proc. of the 38-th International Conference on Advanced Information Networking and Applications (AINA-2024), April 2024
  76. M. Pandey, H. Kaur, S. Basak, I. Echizen, "Privacy-Preserving Location-Based Services: A DQN Algorithmic Perspective", Proc. of the 38-th International Conference on Advanced Information Networking and Applications (AINA-2024), April 2024
  77. J. Zhang, B. Wang, L. Li, Y. Nakashima, and H. Nagahara, "Instruct Me More! Random Prompting for Visual In-Context Learning", Proc. Winter Conference on Applications of Computer Vision (WACV), 10 pages, January 2024
  78. Z. Pang, Y. Nakashima, M. Otani, and H. Nagahara, "Revisiting Pixel-Level Contrastive Pre-Training on Scene Images", Proc. Winter Conference on Applications of Computer Vision (WACV), 10 pages, January 2024
  79. C. Tanaka, M. Kuribayashi, N. Funabiki, "Gait Recognition Scheme Focusing on Operating Characteristics at Feature Points Detected by OpenPose", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2023), pp.600-606, 2023
  80. R. Akai, M. Kuribayashi, N. Funabiki, "A Study on Eliminating Biased Node in Federated Learning", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2023), pp.607-614, 2023
  81. A. Ura, M. Kuribayashi, N. Funabiki, "Study on Face Landmark-Based Analysis for Synthetic Media Identification Generated by Adversarial Generative Networks", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2023), pp.1673-1679, 2023
  82. Yi-Chen Chang, Canasai Kruengkrai, Junichi Yamagishi, "XFEVER: Exploring Fact Verification across Languages", Computer Speech & Language , submitted, December 2023
  83. E. Bao, C.-C. Chang, H. H. Nguyen, I. Echizen, "From Deconstruction to Reconstruction: A Plug-in Module for Diffusion-Based Purification of Adversarial Examples", Proc. of the 22nd International Workshops on Digital-forensics and Watermarking (IWDW2023), November 2023
  84. Yi-Chen Chang, Canasai Kruengkrai, and Junichi Yamagishi, "XFEVER: Exploring Fact Verification across Languages. In Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023), pages 1?11, Taipei City, Taiwan", The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), October 2023
  85. R. Shukla, H. Kaur, I. Echizen, and P. Khanna, "Fingerprint Digital Twin for Secure and Privacy Preserving Biometric Authentication", Proc. of the 2023 IEEE Conference on Systems, Man, and Cybernetics (IEEE SMC 2023), 8 pages, October 2023
  86. T. Nagamori, S. Shiota, and H. Kiya , "Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images", APSIPA ASC 2023, accepted, October 2023
  87. R Aso, S. Shiota, and H. Kiya , "Enhanced Security with Encrypted Vision Transformer in Federated Learning", IEEE GCCE 2023, accepted, October 2023
  88. R. Iijima, M. Tanaka, S. Shiota, and H. Kiya , "Enhanced Security against Adversarial Examples Using a Random Ensemble of Encrypted Vision Transformer Models", IEEE GCCE 2023, accepted, October 2023
  89. W. Zhao, Y. Nakashima, H. Chen, and N, Babaguchi, "Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet Graph", ACM Multimedia 2023, 9 pages, October 2023
  90. F. Shalabi, H. H. Nguyen, H. Felouat, C.-C. Chang, and I. Echizen, "Image-Text Out-Of-Context Detection Using Synthetic Multimodal Misinformation", APSIPA ASC 2023, 8 pages, October 2023
  91. A.P. MaungMaung, I. Echizen, and H. Kiya, "Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings", APSIPA ASC 2023, 7 pages, October 2023
  92. H. H. Nguyen, J. Yamagishi, and I. Echizen, "How Close Are Other Computer Vision Tasks to Deepfake Detection?", IEEE International Joint Conference on Biometrics (IJCB 2023), 10 pages, September 2023
  93. M. Niu, Z. Li, Y. Zhan, H. H. Nguyen, I. Echizen, and Y. Zheng, "Physics-Based Adversarial Attack on Near-Infrared Human Detector for Nighttime Surveillance Camera Systems", ACM Multimedia 2023, 10 pages, October 2023
  94. Canasai Kruengkrai and Junichi Yamagishi, "Revisiting Pathologies of Neural Models under Input Reduction", In Proceedings of Findings of the Association for Computational Linguistics: ACL 2023, pages 11504--11517, 2023., Link
  95. Lin Zhang, Xin Wang, Erica Cooper, Nicholas Evans, Junichi Yamagishi, "Range-Based Equal Error Rate for Spoof Localization", Interspeech 2023, August, 1023, Link
  96. Chang Zeng, Xin Wang, Xiaoxiao Miao, Erica Cooper, Junichi Yamagishi, "Improving Generalization Ability of Countermeasures for New Mismatch Scenario by Combining Multiple Advanced Regularization Terms" Interspeech 2023, August, 1023, Link
  97. Hoang-Quoc Nguyen-Son, Seira Hidano, Kazuhide Fukushima, Shinsaku Kiyomoto and Isao Echizen, "VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations", Finding of The 61st Annual Meeting of the Association for Computational Linguistics (ACL), July 2023
  98. Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh, "Toward verifiable and reproducible human evaluation for text-to-image generation," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  99. D. Gamage, K. Sasahara, "A Mixed-method Approach to Analyze Deepfake related discussions on Reddit and Twitter ", 9th International Conference on Computational Social Science , submitted, July 2023
  100. Xin Wang, Junichi Yamagishi, "Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders", ICASSP 2023 /10.1109/ICA SSP49357.2023.1009477 9, accepted, June 2023
  101. Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara, "Learning Bottleneck Concepts in Image Classification", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), accepted, June 2023
  102. Yusuke Hirota, Yuta Nakashima, Noa Garcia, "Model-Agnostic Gender Debiased Image Captioning", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), accepted, June 2023
  103. Noa Garcia, Yusuke Hirota, Yankun Wu, Yuta Nakashima, "Uncurated Image-Text Datasets: Shedding Light on Demographic Bias", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), accepted, June 2023
  104. H. Kaur, R. Shukla, I. Echizen, and P. Khanna, "Secure and Privacy Preserving Proxy Biometrics Identities", AINA 2023, March 2023, Preprint
  105. Yuki Hirose, Kazuaki Nakamura, Naoko Nitta, and Noboru Babaguchi, "An Experimental Consideration on Gait Spoofing", in Proceedings of 18th International Conference on Computer Vision Theory and Applications, 8 pages, Lisbon, Portugal, Feb., 2023.
  106. D. Gamage and K. Sasahara, “A Mixed-method Approach to Analyze Deepfake related discussions on Reddit and Twitter [Oral]”, IC2S2 2023
  107. P. Ghasiya, A. Georg, and K. Sasahara, “Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter [Poster]”, IC2S2 2023
  108. K. Miyazaki et al., “How do Toxic Comments Induce Fearful Responses in Anti-vaccine Videos on YouTube? [Poster]”, IC2S2 2023
  109. Y. Sun, Z. Zhang, I. Echizen, H. H. Nguyen, C. Qiu, and S. Lu, “Face Forgery Detection Based on Facial Region Displacement Trajectory Series”, Winter Conference on Applications of Computer Vision Workshop (WACV-W) 2023, Preprint
  110. Zongshang Pang, Yuta Nakashima, Mayu Otani, Hajime Nagahara, "Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023) , January 2023, Preprint
  111. Li-Kuang Chen, Canasai Kruengkrai, and Junichi Yamagishi, "Outlier-Aware Training for Improving Group Accuracy Disparities", AACL-IJCNLP: Student Research Workshop, pages 54--60, 2022 Link, code
  112. M. S. Raval, M. Roy, M. Kuribayashi, "Survey on Vision Based Fake News Detection and Its Impact Analysis", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), pp. 1834-1838, 2022.
  113. P. Raval, H. Khakhi, M. Kuribayashi, M. S. Raval, "Defense Against Adversarial Examples Using Beneficial Noise", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), pp. 1839-1845, 2022
  114. H. Takiwaki, M. Kuribayashi, N. Funabiki, M. S. Raval, "Privacy Protection Against Automated Tracking System Using Adversarial Patch", Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), pp.1846-1851, 2022
  115. M. Kuribayashi, K. Kamakari, N. Funabiki, "Classification of Screenshot Image Captured in Online Meeting System", International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction (CD-MAKE2022), LNCS 13480, pp.244-255, Springer-Verlag, 2022
  116. Futa Waseda, Sosuke Nishikawa, Trung-Nghia Le, Huy H. Nguyen, and Isao Echizen, "Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023) , January 2023, Preprint
  117. Huy H. Nguyen, Trung-Nghia Le, Junichi Yamagishi, and Isao Echizen, "Analysis of Master Vein Attacks on Finger Vein Recognition Systems," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), January 2023, Preprint
  118. K. Tsunomori, Y. Yamasaki, M. Kuribayashi, N. Funabiki, I. Echizen, "Detection and Correction of Adversarial Examples Based on JPEG-Compression-Derived Distortion," Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2022), November 2022
  119. Ryota Iijima, Miki Tanaka, Isao Echizen, and Hitoshi Kiya, "On the Adversarial Transferability of ConvMixer Models", APSIPA ASC 2022, November 2022, Preprint
  120. Miki Tanaka, Isao Echizen, Hitoshi Kiya, "On the Transferability of Adversarial Examples between Encrypted Models", IEEE ISPACS 2022, November 2022, Preprint
  121. Ryota Iijima, Hitoshi Kiya, "An Encryption Method of ConvMixer Models without Performance Degradation", the International Conference on Machine Learning and Cybernetics 2022 (ICMLC 2022), September 2022, Preprint
  122. Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen, "A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification", The SIGNLL Conference on Computational Natural Language Learning (CoNLL 2022), December 2022, Preprint
  123. Trung-Nghia Le, Ta Gu, Huy H. Nguyen, Isao Echizen, "Rethinking Adversarial Examples for Location Privacy Protection", IEEE International Workshop on Information Forensics and Security, 2022 (WIFS 2022), December 2022, Preprint
  124. Minh-Quan Le, Trung-Nghia Le, Tam V. Nguyen, Isao Echizen, Minh-Triet Tran, "GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic Animal Segmentation", CV4Animal Workshop, CVPR 2022, June 2022, Preprint, Poster
  125. Canasai Kruengkrai, Junichi Yamagishi “Mitigating the Diminishing Effect of Elastic Weight Consolidation” COLING 2022, accepted, Oct 2022
  126. Chang Zeng, Lin Zhang, Meng Liu, Junichi Yamagishi “Spoofing-Aware Attention based ASV Back-end with Multiple Enrollment Utterances and a Sampling Strategy for the SASV Challenge 2022" Interspeech 2022, accepted, Sept 2022, Preprint
  127. Chang Zeng, Xin Wang, Erica Cooper, Xiaoxiao Miao, Junichi Yamagishi “Attention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances” ICASSP 2022, May 2022, Link
  128. K. Miyazaki, T. Uchiba, K. Tanaka, J. An, H. Kwak, and K. Sasahara, “This is Fake News”: Characterizing the Spontaneous Debunking from Twitter Users to COVID-19 False Information, ICWSM 2023 (International AAAI Conference on Web and Social Media) Preprint
  129. Zheng Qi, AprilPyone MaungMaung, Yuma Kinoshita and Hitoshi Kiya, "Privacy-Preserving Image Classification Using Vision Transformer", EUSIPCO2022, accepted, August 2022, Preprint
  130. Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka and Isao Echizen, "EASE: Entity-Aware Contrastive Learning of Sentence Embedding." NAACL 2022, accepted, July 2022, Preprint
  131. Yusuke Hirota, Yuta Nakashima, Noa Garcia, "Gender and Racial Bias in Visual Question Answering Datasets", Proc. ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2022, accepted, June 2022
  132. Erica Cooper, Wen-Chin Huang, Tomoki Toda, JunichiYamagishi, "Generalization Ability of MOS Prediction Networks", IEEE ICASSP 2022, May 2022
  133. Lin Zhang, Xin Wang, Erica Cooper, Junichi Yamagishi, Jose Patino, and Nicholas Evans, “An Initial Investigation for Detecting Partially Spoofed Audio” in Proc. Interspeech, 2021, pp. 4264—4268, Link
  134. Lin Zhang and Xin Wang and Erica Cooper and Junichi Yamagishi, “Multi-task Learning in Utterance-level and Segmental-level Spoof Detection”, in Proc. ASVspoof 2021 workshop, pp. 9-15, Link
  135. Shunsuke Yoshimura, Kazuaki Nakamura, Naoko Nitta, and Noboru Babaguchi, "Model Inversion Attack against a Face Recognition System in a Black-Box Setting", Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC2021), December 2021
  136. Kunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka, Kazutoshi Sasahara, "Characterizing the Anti-Vaxxers’ Reply Behavior on Social Media", WI-IAT '21, December 2021, Link
  137. Canasai Kruengkrai, Junichi Yamagishi , "Mitigating Catastrophic Forgetting in Continual Learning for Fact Verification", accepted, THE 29TH INTERNATIONAL CONFERENCE ON COMPUTATIONA L LINGUISTICS (COLING 2022) , October 2022
  138. Xin Wang, Junich Yamagishi, "Investigating self-supervised front ends for speech spoofing countermeasures", accepted, ISCA Odyssey2022 , July 2022
  139. Wentao Xu, Kazutoshi Sasahara, "QAnon user dynamics and topical diversity amid the COVID-19 infodemic", IC2S2 2022, accepted, July 2022
  140. Dilrukshi Gamage, Kazutoshi Sasahara, "Analyzing conversations about deepfakes in Reddit and Twitter", IC2S2 2022, accepted, July 2022
  141. Kunihiro Miyazaki, Takayuki Uchiba, Jisun An, Haewoon Kwak, Kazutoshi Sasahara, "Characterizing the Spontaneous Debunking from Twitter Users to COVID-19 False Information", IC2S2 2022, accepted, July 2022
  142. Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, and N. Tomashenko, "Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models", ISCA Odyssey2022 , July 2022
  143. Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkila, Tetsuya Sakai, "AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval", Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, accepted, June 2022
  144. Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkila, and Shin'ichi Satoh, "Optimal Correction Cost for Object Detection Evaluation", Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, accepted, June 2022
  145. Yusuke Hirota, Yuta Nakashima, and Noa Garcia, "Quantifying Societal Bias Amplification in Image Captioning", Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, accepted, June 2022
  146. Dilrukshi Gamage, Piyush Ghasiya, Vamshi Krishna Bonagiri, Mark E. Whiting, and Kazutoshi Sasahara, "Are deepfakes concerning? Exploring societal implications of deepfake conversations in Reddit", CHI 2022, accepted, May 2022, Link
  147. Xin Wang, Junich Yamagishi, "Estimating the confidence of speech spoofing countermeasure", IEEE ICASSP 2022 ,accepted , May, 2022
  148. Wen-Chin Huang, Erica Cooper, Junichi Yamagishi, Tomoki Toda, "LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech ", IEEE ICASSP 2022 ,accepted , May, 2022
  149. Khanh-Duy Nguyen, Huy H. Nguyen, Trung-Nghia Le, Junichi Yamagishi, Isao Echizen, "Effectiveness of Detection-based and Regression-based Approaches for Estimating Mask-Wearing Ratio," The International Workshop on Face and Gesture Analysis for COVID-19 (FG4COVID19) held in conjunction with FG 2021, December, 2021, preprint, dataset
  150. D. Takeshita, M. Kuribayashi, N. Funabiki, "A study of feature extraction suitable for double JPEG compression analysis based on statistical bias observation of DCT coefficients", APSIPA ASC 2021, December 2021
  151. K. Nakai, M. Kuribayashi, N. Funabiki, "A study of privacy protection of photos taken by wide-angle surveillance camera", APSIPA ASC 2021, December 2021
  152. Y. Yamasaki, M. Kuribayashi, N. Funabiki, H. Nguyen, and I. Echizen, "A Study of Feature Extraction Based on Denoising Auto Encoder for Classification of Adversarial Examples," APSIPA ASC 2021, December 2021
  153. MaungMaung AprilPyone, Hitoshi Kiya, "A Protection Method of Trained CNN Model Using Feature Maps Transformed With Secret Key From Unauthorized Access", APSIPA ASC 2021, December 2021, Preprint
  154. Dilrukshi Gamage, Jiayu Chen, and Kazutoshi Sasahara, "The Emergence of Deepfakes and its Societal Implications: A Systematic Review", Conference for Truth and Trust Online, October 2021
  155. Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen, "A Multilingual Bag-of-Entities Model forZero-Shot Cross-Lingual Text Classification", ACL-IJCNLP 2021 Student Research Workshop (non-archival option), 2021, Link
  156. Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara, “SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition” ICCV 2021, accepted, October 2021, Preprint, code
  157. Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen, "OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild" ICCV 2021, accepted, October 2021, Preprint, presentation video, dataset
  158. Dilrukshi Gamage, "The Emergence of “Deepfakes” and Its Societal Implications:A Systematic Review", Conference for Truth and Trust Online 2021, 2021年10月8日
  159. Junichi Yamagishi, "AUTOMATIC DETECTION OF GENERATED VOICES AND FACES ‒ ASVSPOOF AND DEEPFAKE DETECTION", The 23rd International Conference on Speech and Computer SPECOM-2021, 2021年9月28日
  160. April Pyone MAUNG MAUNG, Hitoshi KIYA, "TRANSFER LEARNING-BASED MODEL PROTECTION WITH SECRET KEY,", IEEE International Conference on Image Processing, accepted, September 2021
  161. Erica Cooper, Xin Wang, Junichi Yamagishi, "Text-to-Speech Synthesis Techniques for MIDI-to-Audio Synthesis", Proc. 11th ISCA Speech Synthesis Workshop (SSW 11) 10.21437/SSW.2021-23 , published, August 2021
  162. Erica Cooper, Junichi Yamagishi, "How do Voices from Past Speech Synthesis Challenges Compare Today?", Proc. 11th ISCA Speech Synthesis Workshop (SSW 11) 10.21437/SSW.2021-32 , published, August 2021
  163. Xin Wang, Junich Yamagishi, "A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection", Proc. Interspeech 2021 10.21437/Interspeech.202 1-702, published, August 2021
  164. Canasai Kruengkrai, Xin Wang, Junichi Yamagishi, "A Multi-Level Attention Model for Evidence-Based Fact Checking", Findings of ACL2021, accepted, August 2021, Preprint, code
  165. Junichi Yamagishi, Xin Wang, Massimiliano Todisco, Md Sahidullah, Jose Patino, "ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection", Proc. 2021 Edition of the Automatic Speaker Verification and Spoofing 10.21437/ASVSPOOF.2021-8, 2021年9月
  166. Wentao Xu, Kazutoshi Sasahara, "Twitter Bot Networks and Activity Patternsduring the COVID-19 Infodemic", 7th International Conference on Computational Social Science , 2021年7月31日
  167. Jiayu Chen, Tasuku Igarashi, "Birds of a different feather reciprocate each other: Cooperativeness visibility, costly favor, and the reduction of rich-poor segregation", The 14th Biennial Asian Association of Social Psychology (AASP2021) , 2021年7月29日
  168. Kunihiro Miyazaki, Kazutoshi Sasahara, "Anti-Vax Strategy in the Reply Behavior on SocialMedia", 7th International Conference on Computational Social Science , 2021年7月28日
  169. M. Kuribayashi, T. Tanaka, S. Suzuki, T. Yasui, Nobuo Funabiki, "White-box watermarking scheme for fully-connected layers in fine-tuning model," 9th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec'21), accepted, June 2021.
  170. April Pyone MAUNG MAUNG, Hitoshi KIYA, "Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation with Secret Key," ACM Workshop on Information Hiding and Multimedia Security 22th, accepted, June 2021.
  171. Marc Treu, Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen, "Fashion-Guided Adversarial Attack on Person Segmentation", Computer Vision and Pattern Recognition WORKSHOP ON MEDIA FORENSICS 2021, accepted, June 2021, Preprint, Presentation Video, code/dataset
  172. Harkeerat Kaur, Rohit Kumar, and Isao Echizen, "Reinforcement Learning based Smart Data Agent for Location Privacy", The 35th International Conference on Advanced Information Networking and Applications (AINA-2021), accepted, May 2021
  173. Noboru Babaguchi, Isao Echizen, Junichi Yamagishi, Naoko Nitta, Yuta Nakashima, Kazuaki Nakamura, Kazuhiro Kono, Fuming Fang, Seiko Myojin, Zhenzhong Kuang, Huy H. Nguyen, Ngoc-Dung T. Tieu, "Preventing Fake Information Generation Against Media Clone Attacks,” IEICE Transactions on Information and Systems", IEICE Transactions on Information and Systems 10.1587/transinf.2020MUI 0001, January 2021,
  174. Isao Echizen, Noboru Babaguchi, Junichi Yamagishi, Naoko Nitta, Yuta Nakashima, Kazuaki Nakamura, Kazuhiro Kono, Fuming Fang, Seiko Myojin, Zhenzhong, Kuang, Huy H. Nguyen, Ngoc-Dung T. Tieu, "Generation and Detection of Media Clones", IEICE Transactions on Information and Systems 10.1587/transinf.2020 MUI0002, January 2021,
  175. Sota Kawakami, Kei Okada, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi, "Semi-supervised outdoor image generation conditioned on weather signals", Proc. of 25th International Conference on Pattern Recognition (ICPR2020), January 2021
  176. A. Higashi, M. Kuribayashi, N. Funabiki, H. Nguyen, I. Echizen, "Detection of adversarial examples based on sensitivities to noise removal filter", Proceedings of 2020 Asia-Pacific Signal and Information Processing Association Anual Sumit and Confonference (APSIPA ASC 2020), December 2020
  177. Jiayu Chen, Tasuku Igarashi, "Overcoming choice homophily under wealth disparities in dynamic social networks.", 5th Australian Social Network Analysis Conference, November 2020
  178. Jiayu Chen, Tasuku Igarashi, "Do Well and Have Well: Favorable Behavior Breeds Rich-Poor Cooperation.", 32nd Association for Psychological Science Annual Convention, June 2020

Preprints

  • Lin Zhang, Xin Wang, Erica Cooper, Nicholas Evans, Junichi Yamagishi, "The PartialSpoof Database and Countermeasures for the Detection of Short Generated Audio Segments Embedded in a Speech Utterance", Submitted to IEEE/ACM Transactions on Audio Speech and Language Processing, April 2022, Preprint
  • Xiaoxiao Miao, Xin Wang, Erica Cooper, Junichi Yamagishi, Natalia Tomashenko, "Analyzing Language-Independent Speaker Anonymization Framework under Unseen Conditions", March 2022, Preprint
  • Xin Wang, Junich Yamagishi, "Investigating Active-learning-based Training Data Selection for Speech Spoofing Countermeasure", March 2022, Preprint
  • Wen-Chin Huang, Erica Cooper, Yu Tsao, Hsin-Min Wang, Tomoki Toda, Junichi Yamagishi, "The VoiceMOS Challenge 2022", March 2022, Preprint
  • K. Miyazaki, T. Uchiba, K. Tanaka, and K. Sasahara, "Aggressive behaviour of anti-vaxxers and their toxic replies in English and Japanese", January 2022, Preprint
  • Futa Waseda, Sosuke Nishikawa, Trung-Nghia Le, Huy H. Nguyen, Isao Echizen, "Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently", December 2021, Preprint
  • Minh-Quan Le, Trung-Nghia Le, Tam V. Nguyen, Isao Echizen, Minh-Triet Tran, "Multimodal-based Scene-Aware Framework for Aquatic Animal Segmentation", December 2021, Preprint
  • Jialiang Shi, Piyush Ghasiya, Kazutoshi Sasahara, "Psycho-linguistic differences among competing vaccination communities on social media", November 2021, Preprint
  • Wentao Xu, Kazutoshi Sasahara, "A network-based approach to QAnon user dynamics during COVID-19 infodemic", October 2021, Preprint
  • Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen, "A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification", October 2021, Preprint

    • Books, book chapters, and research reports


      Frontiers in Fake Media Generation and Detection (M. Khosravy, I. Echizen, and N. Babaguchi, eds.)
      　
    1. Kazuaki Nakamura, Yuto Mori, Naoko Nitta, and Noboru Babaguchi, "Recognizer Cloning Attack on Image Recognition Services and Its Defending Method", Book chapter, Frontiers in Fake Media Generation and Detection, Chapter 10, Springer, 2022
    2. Xin Wang and Junichi Yamagishi, "A Practical Guide to Logical Access Voice Presentation Attack Detection", Book chapter, Frontiers in Fake Media Generation and Detection, Chapter 8, Springer, 2022, Link
    3. MaungMaung AprilPyone and Hitoshi Kiya, "Adversarial Defense with Secret Key", Book chapter, Frontiers in Fake Media Generation and Detection, Chapter 7, Springer, 2022
    4. Jeongwoo Lim, Masayuki Tamura, Naoko Nitta, Kazuaki Nakamura, and Noboru Babaguchi, "Spoofing Tweet Generator considering Points of Interest of Target User", Book chapter, Frontiers in Fake Media Generation and Detection, Chapter 5, Springer, 2022
    5. Trung-Nghia Le, Huy H Nguyen, Junichi Yamagishi, and Isao Echizen, "Robust Deepfake On Unrestricted Media: Generation And Detection", Book chapter, Frontiers in Fake Media Generation and Detection, Chapter 4, Springer, 2022, Link
    6. MaungMaung AprilPyone, Yuma Kinoshita, and Hitoshi Kiya, Tokyo Metropolitan, "Adversarial Examples and Defenses", Book chapter, Frontiers in Fake Media Generation and Detection, Chapter 2, Springer, 2022
    7. Dilrukshi Gamage, Jiayu Cheny, Piyush Ghasiya, and Kazutoshi Sasahara, "Deepfakes and Society: What lies ahead?", Book chapter, Frontiers in Fake Media Generation and Detection, Chapter 1, Springer, 2022
    8. Mahdi Khosravy, Isao Echizen, Noboru Babaguchi, "Frontiers in Fake Media Generation and Detection", Springer, 2022年6月, Link
    9. Ruben Tolosana, Christian Rathgeb, Ruben Vera-Rodriguez, Christoph Busch, Luisa Verdoliva, Siwei Lyu, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen, Peter Rot, Klemen Grm, Vitomir Štruc, Antitza Dantcheva, Zahid Akhtar, Sergio Romero-Tapiador, Julian Fierrez, Aythami Morales, Javier Ortega-Garcia, Els Kindt, Catherine Jasserand, Tarmo Kalvet, Marek Tiits, "Future Trends in Digital Face Manipulation and Detection", Book chapter, Handbook of Digital Face Manipulation and Detection, pp.463-482, Springer, 2022
    10. Huy H. Nguyen, Junichi Yamagishi, Isao Echizen, "Capsule-Forensics Networks for Deepfake Detection", Book chapter, Handbook of Digital Face Manipulation and Detection, pp. 275-301, Springer, 2022

    Invited talks

    1. J. Yamagishi, "Detecting the Undetectable: Robust Defense Strategies Against Voice Deepfakes", 2025 1M-Deepfakes Detection Challenge workshop, ACM Multimedia 2025, October 29 2025,
    2. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", INTERPOL Conference on AI in Digital Forensics Tokyo, October 28 2025,
    3. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", APSIPA Autumn School 2025, National University of Singapore, Singapore, October 21 2025,
    4. Takayuki Mizuno, "Human Mobility Trajectory Generation from Maps via Transformer Architectures", Architectures", Asian Network of Complexity Scientists Workshop 2025, July 7 2025,
    5. Kazutoshi Sasahara, "Countering Fake News: Computational Social Science Approaches", The 10th International Conference on Machine Learning and Soft Computing, January 25 2025,
    6. Kei Ichikawa, "How Emotion Shapes the Sharing of AI-Generated Images: Findings from an Online Experiment", HSoC2025 HICSS Symposium on Computational Social Science, January 7 2025,
    7. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", Invited talk at overview session, APSIPA ASC 2024, Macau, December 6 2024, Link
    8. Minoru Kuribayashi, "Fighting against fake content", Keynote Speech, 2024 Seventh International Conference on Vocational Education and Electrical Engineering (ICVEE2024), October 2024, Link
    9. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", N-CRiPT Workshop 2024, 2024, National University of Singapore, Singapore, July 31 2024,
    10. Huy H. Nguyen, "Balancing Innovation and Security: Addressing Deepfakes and Disinformation in the Age of Advanced AI", N-CRiPT Workshop 2024 National University of Singapore, Singapore, July 31 2024,
    11. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", The 6th International Electronics Communication Conference, Fukuoka, Japan, July 20 2024,
    12. Takayuki Mizuno, "Generation of synthetic financial and economic data by Generative AI", Econophysics Colloquium 2024, June 3, 2024
    13. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", MATH CU SEMINAR, Dept. Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, March 1, 2024
    14. Y. Nakashima, "Mitigating social bias in image captioning models", International Workshop on Frontiers of Computer Vision, Feb. 2024.
    15. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", The 1st Japan-Korea Workshop on Artificial Intelligence, December 27, 2023
    16. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", The 11th US-JAPAN HI-TECH INDUSTRIALIZATION FORUM, December 19, 2023
    17. Isao Echizen, "Real or Fake? From Biometric Data Protection to Fake Media Detection", 2023 The 6th Asia Conference on Cognitive Engineering and Intelligent Interaction, December 15, 2023
    18. Isao Echizen, "The Risks and Opportunities of Generative AI", G7 Mito Ibaraki: Interior and Security Ministers' Meeting, December 9, 2023
    19. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", The 8th International Conference on Computer Vision & Image Processing (CVIP2013), November 5, 2023
    20. Mehul S. Raval, Minoru Kuribayashi, Mohendra Roy, "Spoofing Face Recognition Systems with Adversarial Examples: Challenges and Countermeasures", Tutorial, APSIPA ASC 2023, October, 2023,
    21. Minoru Kuribayashi, "Classification of Fake Content Created by Generative AI", Invited Speech, International Conference on Computer and Communications Management (ICCCM 2023), August 2023,
    22. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", 2023 5th International Electronics Communication Conference (IECC 2023), July 2023
    23. N. Garcia, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", CVPR Workshop on New Frontiers for Zero-shot Image captioning Evaluation, June 2023
    24. Y. Nakashima, "Concept discovery from an image dataset: Toward image representation with an emergent language", Seventh International Workshop on Symbolic-Neural Learning (SNL-2023), June 2023
    25. N. Garcia, "The elephant in the room: Societal biases in vision and language tasks", CVPR Workshop on New Frontiers for Zero-shot Imagecaptioning Evaluation, June 2023
    26. Isao Echizen, "Real or Fake? From Biometric Data Protection to Fake Media Detection", 2023 8th International Conference on Information and Network Technologies (ICINT 2023), May 2023, Link
    27. Minoru Kuribayashi, "Multimedia Forensics for Fake Content Classification", International Conference on Emerging Computational Intelligence (ICECI 2023), February 2023 <Keynote>
    28. Isao Echizen, "Fake media detection and its practical application", Dagstuhl Seminar 23021, Media Forensics and the Challenge of Big Data, January 2023, Link
    29. Junichi Yamagishi, “Speech Synthesis Research 2.0”, THE 34TH CONFERENCE ON COMPUTATIONAL LINGUISTICS AND SPEECH PROCESSING (Rocling 2022), November 2022,
    30. Junichi Yamagishi, “Lessons learned from ASVSpoof and remaining challenges”, 1st International Workshop on Deepfake Detection for Audio Multimedia (DDAM 2022), Workshop at ACM Multimedia 2022, October 2022,
    31. Isao Echizen, "Real or Fake? From Biometric Data Protection to Fake Media Detection", ICSTE 2022, October 2022, Link
    32. Isao Echizen, IEICE English Webinar(Distinguished Lecturer Program Series), October 2022
    33. Isao Echizen, "Real or Fake? Fake Media Generation and Detection", INTERNATIONAL FORUM INTELLIGENCE AUGMENTATION AND AMPLIFICATION PLUS SOCIETY 2022 (IAASOC 2022), July 2022 Link
    34. Isao Echizen, "Real or Fake? From Biometric Data Protection to Fake Media Detection", The 2022 4th International Electronics Communication Conference (IECC 2022), July 2022 <Keynote>
    35. Isao Echizen, "Real or Fake? From Biometric Data Protection to Fake Media Detection", Quarterly Invited Speech at IAPR Computation Forensics Technical Committee (TC6), September 29, 2021, Link
    36. Junichi Yamagishi, "AUTOMATIC DETECTION OF GENERATED VOICES AND FACES ‒ASVSPOOF AND DEEPFAKE DETECTION", The 23rd International Conference on Speech and Computer SPECOM-2021, September 2021,
    37. Junichi Yamagishi and Xin Wang, "Advancement in Neural Vocoders", Tutorial at ISCA 2021 Speech Processing Courses in Crete , 2021年7月27日
    38. Isao Echizen, "Real or Fake? The Future of Biometric Data Protection", EURASIP Journal on Image and Video Processing Webinar, May 2021
    39. M. Kuribayashi, "Adversarial Examples of Deep Learning System and Its Defense", IEEE Computational Intelligence Society Chapter and Ahmedabad University, March 2021
    40. Isao Echizen, "Real or Fake? The Future of Media Security and Privacy", Symposium of Yotta Informatics, Research Platform for Yotta-Scale Data Science 2021, March 2021
    41. Isao Echizen, Junichi Yamagishi, Trung-Nghia Le, and Huy H. Nguyen, "Real or Fake? The Future of Media Security and Privacy", The 7th International Symposium toward the Future of Advanced Researches in Shizuoka University 2021 (ISFAR-SU2021), March 2021
    42. Kazutoshi Sasahara, "Online echo chamber: What is it and how to break out of it?", Eurasian Summit of models for Society 2021, March 2021
    43. Isao Echizen, "Real or Fake? The future of biometric data protection", The 2021 2nd Asia Service Sciences and Software Engineering (ASSE) Conference, February 2021 <Keynote>

    Oral Presentation, Poster・demo

    1. K. Sasahara and C. Jiayu, "Warning Labels in the Age of Deepfakes: Timing, Frequency, and Unintended Consequences," The 4th Annual Trust and Safety Research Conference, USA, Sep. 2025,
    2. J. Chen et al.， “Can Warning Messages Suppress Suspicious Political Video Sharing Behaviors on Social Media?”， Society for Personality and Social Psychology (SPSP) 2025, 2025年2月20日
    3. Takayuki Mizuno, Tomonori Takahashi， “Synthetic financial Time Series by Diffusion Models ”， Conference on Complex Systems 2024, 2024年9月2日
    4. Taizo Horikomi, Takayuki Mizuno， “The Generation of Customer Flow and Purchase Behavior in Retail Stores Using Transformer-based Deep Learning Structure ”， 10th International Conference on Computational Social Science, 2024年7月17日
    5. Tomonori Takahashi, Takayuki Mizuno， “Synthetic Financial Time Series by Diffusion Models ”， 10th International Conference on Computational Social Science, 2024年7月17日
    6. D. Gamage and K. Sasahara， “A Mixed-method Approach to Analyze Deepfake related discussions on Reddit and Twitter [Oral]”， IC2S2202,
    7. P. Ghasiya, A. Georg, and K. Sasahara， “Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter [Poster]”， IC2S2202,
    8. K. Miyazaki et al.， “How do Toxic Comments Induce Fearful Responses in Anti-vaccine Videos on YouTube? [Poster]”， IC2S2202,
    9. P. Ghasiya, A. Georg, K. Sasahara， “Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter”， 9th International Conference on Computational Social Science, 2023年7月20日.
    10. K. Miyazaki， “How do Toxic Comments Induce Fearful Responses in Anti-vaccine Videos on YouTube?”， 9th International Conference on Computational Social Science, 2023年7月19日.
    11. Yuki Hirose, Kazuaki Nakamura, Naoko Nitta, and Noboru Babaguchi, "An Experimental Consideration on Gait Spoofing", in Proceedings of 18th International Conference on Computer Vision Theory and　Applications, 2023年2月
    12. Dilrukshi Gamage, "The Emergence of “Deepfakes” and Its Societal Implications:A Systematic Review", Conference for Truth and Trust Online 2021, 2021年10月8日
    13. Jiayu Chen, Tasuku Igarashi, "Birds of a different feather reciprocate each other: Cooperativeness visibility, costly favor, and the reduction of rich-poor segregation", Proc. 2021 Edition of the Automatic Speaker Verification and Spoofing, 2021年9月1日
    14. Wentao Xu, Kazutoshi Sasahara, "Twitter Bot Networks and Activity Patternsduring the COVID-19 Infodemic", 7th International Conference on Computational Social Science, 2021年7月31日,
    15. Jiayu Chen, Tasuku Igarashi, "Birds of a different feather reciprocate each other: Cooperativeness visibility, costly favor, and the reduction of rich-poor segregation", The 14th Biennial Asian Association of Social Psychology (AASP2021), 2021年7月29日,
    16. Kunihiro Miyazaki, Kazutoshi Sasahara, "Anti-Vax Strategy in the Reply Behavior on SocialMedia", 7th International Conference on Computational Social Science, 2021年7月28日,
    17. Wentao Xu, Kazutoshi Sasahara, "Network and behavioural patternsof bots during the early COVID-19 infodemic", 第35回人工知能学会全国大会, 2021年6月11日
    18. Junichi Yamagishi and Isao Echizen, "Deepfake Video Detection", CES 2021, January 2021
    19. Jiayu Chen, Tasuku Igarashi, "Universal cooperation beyond the rich-poor boundaries: Process of reducing socioeconomic inequality in dynamic networks.", 日本社会心理学会第61回大会, 2020年11月

    Media coverage(Press release/ News release)

    1. Prof. ECHIZEN Isao and YAMAGISHI Junichi of NII and Prof. BABAGUCHI Noboru of FUT win the Award for Science and Technology (Research Category) - The Commendation for Science and Technology by the Minister of MEXT 2025- , National　Institute of Informatics, News Release , April 8 2025

    Media coverage(Online articles)

    1. Isao Echizen, NIKKEI ASIA, 30 years after subway sarin attack, Japan faces lone wolves aided by AI, March 21, 2025
    2. Kazutoshi Sasahara, Junichi Yamagishi, Isao Echizen, the japantimes, Japan launches industry and academia tie-up to combat online disinformation, January 27, 2025
    3. Isao Echizen, NIKKEI ASIA, Voters across Asia contend with AI-generated fake videos and images , January 18, 2025
    4. Isao Echizen, The Mainichi Japan's National Daily, Fake scientific papers made with AI used names of 3 Japan researchers, January 15, 2025
    5. Isao Echizen, The Japan News by The Yomiuri Shimbun, Fake Academic Papers May Have Been Created with AI; Japanese Researcher Falsely Cited As Author on Overseas ‘Predatory Journal’ Website, November 24, 2024
    6. Isao Echizen, The Japan News by The Yomiuri Shimbun, Fake Academic Papers May Have Been Created with AI; Japanese Researcher Falsely Cited As Author on Overseas ‘Predatory Journal’ Website, November 21, 2024
    7. Isao Echizen, The Yomiuri Shimbun, Japan Institute Researchers Devise New Way to Fight Deepfakes, August 30, 2023
    8. Junichi Yamagishi, Forbes, Analyzing The Rise Of Deepfake Voice Technology, May 10, 2021
    9. Kazutoshi Sasahara, Proceedings of the National Academy of Sciences of the United States of America, Model captures how polarization emerges on social media during political campaigns, December 20, 2020

    Media coverage(TV / Radio)

    1. Isao Echizen, 2023/01/13, NHK World, [IN DEPTH] AI: The Good, the Bad and the Inspirational, Link

    Media coverage(Newspapers)

    Media coverage(Others)

    Patents

    Awards

    1. Isao Echizen, Won the 58th Ichimura Prize in Science for Excellent Achievement, Ichimura Prize in Science for Excellent Achievement, , March 19, 2026
    2. Prof. ECHIZEN Isao and YAMAGISHI Junichi of NII and Prof. BABAGUCHI Noboru of FUT win the Award for Science and Technology (Research Category) - The Commendation for Science and Technology by the Minister of MEXT 2025- , National　Institute of Informatics, News Release , April 8 2025
    3. A.P.M. Maung and H. Kiya, Japan Student Journal Paper Award, IEEE Signal Processing Society (SPS) , 2022

    Others

    1. Isao Echizen, "Signal Processing Education in the AI Era", Moderator, Education Workshop, APSIPA Autumn School 2025, October 23 2025,
    2. Isao Echizen, "Utilization of the Foundation Models and the Future", Moderator, erspective & Panel Session, APSIPA Autumn School 2025, October 22 2025,
    3. Miyazaki, K., Uchiba, T., Kwak, H. et al., "The impact of toxic trolling comments on anti-vaccine YouTube videos", published, Sci Rep 14, 5088 (2024) link
    4. K. Miyazaki, T. Uchiba, K. Tanaka, and K. Sasahara, "The Strategy Behind Anti-Vaxxers’ Reply Behavior on Social Media", submitted, Preprint