Global Research Center for Synthetic Media
National Institute of Informatics

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Refereed journal papers　|　Refereed conference papers　|　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. 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),
  2. C. -C. Chang and I. Echizen, "Tell-Tale Watermarks for Explanatory Reasoning in Synthetic Media Forensics,", IEEE Access, vol. 14, pp. 18206-18221, 2026,
  3. 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,
  4. 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,
  5. 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,
  6. 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,
  7. 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,
  8. 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,
  9. 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,
  10. 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,
  11. 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,
  12. 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,
  13. 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,
  14. C.-C. Chang and I. Echizen, "Steganography beyond space-time with chain of multimodal AI,", Scientific Reports, 2025,
  15. 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,
  16. 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,
  17. Wen Huang, Xuechen Liu, Xin Wang, Junichi Yamagishi, Yanmin Qian, "From Sharpness to Better Generalization for Speech Deepfake Detection" Interspeech 2025, August 2025,
  18. 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,
  19. W. Xu and K. Sasahara, "Domain-based user embedding for competing events on social media", Journal of Computational Social Science,
  20. Wanying Ge, Xin Wang, Junichi Yamagishi, "Proactive Detection of Speaker Identity Manipulation with Neural Watermarking", ICLR 2025 Workshop on GenAI Watermarking,
  21. S. Xu, C.-C. Chang, H, H. Nguyen, I. Echizen, "Reversible anonymization for privacy of facial biometrics via cyclic learning,", EURASIP Journal of Information Security, 2024
  22. 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,
  23. T. Ouyang, Y. Seo, and I. Echizen, "Textual out-of-distribution (OOD) detection for LLM quality assurance,", Knowledge-Based Systems, Elsevier, 2025, Feb. 2024,
  24. C. C. Chang and I. Echizen, "Steganography in Game Actions,", IEEE Access, 2025, Jan. 2025,
  25. 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,
  26. A. MaungMaung, I. Echizen and H. Kiya, "On the Security of Learnable Image Encryption for Privacy-Preserving Deep Learning,", IEEE Access,
  27. 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,
  28. 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,
  29. 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
  30. 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
  31. P. Ghasiya, G. Ahnert, K. Sasahara, "Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter", ISocial Media + Society. 9, 20563051231199457 (2023), Link
  32. C. C. Chang, H. H. Nguyen, J. Yamagishi, and I. Echizen, "Cyber Vaccine for Deepfake Immunity", IEEE Access, 14 pages, 2023
  33. 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
  34. 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
  35. CC Chang, X Wang, S Chen, H Kiya, I Echizen, "On the predictability in reversible steganography", Telecommunication Systems, Springer, 1-13, January 2023, Link
  36. 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
  37. 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
  38. 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
  39. 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
  40. Piyush Ghasiya and Kazutoshi Sasahara, "Rapid Sharing of Islamophobic Hate on Facebook: The Case of the Tablighi Jamaat Controversy", IC2S2 2022, July 2022, Link
  41. 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
  42. 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
  43. Huy H. Nguyen, Sébastien Marcel, Junichi Yamagishi. Isao Echizen, "Master Face Attacks on Face Recognition Systems", IEEE TBIOM, accepted, April 2022, Link
  44. 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.
  45. 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.
  46. 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.
  47. 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>
  48. 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
  49. 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
  50. 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
  51. 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

Refereed conference 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. 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,
  5. H. Felouat, H. Wang, and I. Echizen, "GFT-GCN: Privacy-Preserving 3D Face Mesh Recognition with Spectral Diffusion", WACV 2026, 2026,
  6. 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,
  7. 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,
  8. F. Waseda, S. Sugawara, I. Echizen, "Quality Text, Robust Vision: The Role of Language in Enhancing Visual Robustness of Vision-Language Models,", ACMMM, 2025,
  9. 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,
  10. 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,
  11. F. Waseda, C.-C. Chang, and I. Echizen, "Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off", ICLR 2025, 2025,
  12. 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,
  13. R. Shukla, C. Sejgaya, K. Kushavaha, H. Kaur, and I. Echizen, “RidgeFusion: Frequency-Split Conditioning for Diffusion-Based Contactless Fingerprint Rendering,”, IJCNN 2026, 2026,
  14. 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,
  15. 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,
  16. 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,
  17. Y. Ji, T. Ji, H. Liu, and I. Echizen, "ADVERSARIAL IMAGE PURIFICATION BY EXPLAINING ADVERSARIAL DETECTORS,", IEEE ICIP 2025,
  18. R. Shukla, H. Kaur, and I. Echizen, "Analyzing Face Image Inpainting with Attribute-Driven Generative Network", IJCNN 2025,
  19. 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,
  20. Le, MQ., Le, TN., Nguyen, T.V., Echizen, I, and Tran, M. T., "GUNNEL: guided mixup augmentation and multi-model fusion for aquatic animal segmentation", Neural Computing and Applications, vol. 37, 18091–18108, 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. D. Phan, Q. Tran, D. Do, A. Vo, H. Nguyen, T. Do, M. Tran, V. Nguyen, T. Nguyen, I. Echizen, M. Tran, and T. Le, "Forged Calamity: Benchmark for Cross-Domain Synthetic Disaster Detection in the Age of Diffusion" SOICT 2025, 2025,
  24. 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,
  25. 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,
  26. 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,
  27. 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
  28. 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,
  29. 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,
  30. 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,
  31. 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
  32. 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,
  33. 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
  34. 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,
  35. 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,
  36. 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
  37. 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,
  38. 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,
  39. 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,
  40. 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
  41. 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,
  42. 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
  43. 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,
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. Yi-Chen Chang, Canasai Kruengkrai, Junichi Yamagishi, "XFEVER: Exploring Fact Verification across Languages", Computer Speech & Language , submitted, December 2023
  54. 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
  55. 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
  56. 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
  57. T. Nagamori, S. Shiota, and H. Kiya , "Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images", APSIPA ASC 2023, accepted, October 2023
  58. R Aso, S. Shiota, and H. Kiya , "Enhanced Security with Encrypted Vision Transformer in Federated Learning", IEEE GCCE 2023, accepted, October 2023
  59. 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
  60. 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
  61. 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
  62. A.P. MaungMaung, I. Echizen, and H. Kiya, "Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings", APSIPA ASC 2023, 7 pages, October 2023
  63. 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
  64. 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
  65. 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
  66. Lin Zhang, Xin Wang, Erica Cooper, Nicholas Evans, Junichi Yamagishi, "Range-Based Equal Error Rate for Spoof Localization", Interspeech 2023, August, 2023, Link
  67. 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, 2023, Link
  68. 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
  69. 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
  70. 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
  71. H. Kaur, R. Shukla, I. Echizen, and P. Khanna, "Secure and Privacy Preserving Proxy Biometrics Identities", AINA 2023, March 2023, Preprint
  73. D. Gamage and K. Sasahara, “A Mixed-method Approach to Analyze Deepfake related discussions on Reddit and Twitter [Oral]”, IC2S2 2023
  74. P. Ghasiya, A. Georg, and K. Sasahara, “Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter [Poster]”, IC2S2 2023
  75. 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
  76. 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
  77. 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
  78. 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
  79. Ryota Iijima, Miki Tanaka, Isao Echizen, and Hitoshi Kiya, "On the Adversarial Transferability of ConvMixer Models", APSIPA ASC 2022, November 2022, Preprint
  80. Miki Tanaka, Isao Echizen, Hitoshi Kiya, "On the Transferability of Adversarial Examples between Encrypted Models", IEEE ISPACS 2022, November 2022, Preprint
  81. 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
  82. 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
  83. Canasai Kruengkrai, Junichi Yamagishi “Mitigating the Diminishing Effect of Elastic Weight Consolidation” COLING 2022, accepted, Oct 2022
  84. 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
  85. 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
  86. 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
  87. 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
  88. Erica Cooper, Wen-Chin Huang, Tomoki Toda, JunichiYamagishi, "Generalization Ability of MOS Prediction Networks", IEEE ICASSP 2022, May 2022
  89. 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
  90. 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
  91. 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
  92. Xin Wang, Junich Yamagishi, "Investigating self-supervised front ends for speech spoofing countermeasures", accepted, ISCA Odyssey2022 , July 2022
  93. Dilrukshi Gamage, Kazutoshi Sasahara, "Analyzing conversations about deepfakes in Reddit and Twitter", IC2S2 2022, accepted, July 2022
  94. 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
  95. 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
  96. 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
  97. 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
  98. Xin Wang, Junich Yamagishi, "Estimating the confidence of speech spoofing countermeasure", IEEE ICASSP 2022 ,accepted , May, 2022
  99. 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
  100. 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
  101. 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
  102. 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
  103. 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
  104. 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
  105. 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
  106. 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
  107. 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
  108. 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
  109. Canasai Kruengkrai, Xin Wang, Junichi Yamagishi, "A Multi-Level Attention Model for Evidence-Based Fact Checking", Findings of ACL2021, accepted, August 2021, Preprint, code
  110. 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
  111. Wentao Xu, Kazutoshi Sasahara, "Twitter Bot Networks and Activity Patternsduring the COVID-19 Infodemic", 7th International Conference on Computational Social Science , July 31 2021,
  112. Kunihiro Miyazaki, Kazutoshi Sasahara, "Anti-Vax Strategy in the Reply Behavior on SocialMedia", 7th International Conference on Computational Social Science , July 28 2021,
  113. 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
  114. 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
  115. 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,
  116. 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,
  117. 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
  118. 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

Books, book chapters, and research reports


  1. Frontiers in Fake Media Generation and Detection (M. Khosravy, I. Echizen, and N. Babaguchi, eds.)
    　
  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. 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
  4. 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
  5. 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, 2025年10月29日,
  2. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", INTERPOL Conference on AI in Digital Forensics Tokyo, 2025年10月28日,
  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, 2025年10月21日,
  4. Kazutoshi Sasahara, "Countering Fake News: Computational Social Science Approaches", The 10th International Conference on Machine Learning and Soft Computing, 2025年1月25日,
  5. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", Invited talk at overview session, APSIPA ASC 2024, Macau, 2024年12月6日, Link
  6. 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, 2024年7月31日
  7. 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, 2024年7月31日
  8. Isao Echizen, "Real or Fake? Frontiers of Countering Fake Media in the Age of Infodemics", The 6th International Electronics Communication Conference, Fukuoka, Japan, 2024年7月20日
  9. 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
  10. 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
  11. 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
  12. 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
  13. Isao Echizen, "The Risks and Opportunities of Generative AI", G7 Mito Ibaraki: Interior and Security Ministers' Meeting, December 9, 2023
  14. 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
  15. 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
  16. 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
  17. Isao Echizen, "Fake media detection and its practical application", Dagstuhl Seminar 23021, Media Forensics and the Challenge of Big Data, January 2023, Link
  18. Junichi Yamagishi, “Speech Synthesis Research 2.0”, THE 34TH CONFERENCE ON COMPUTATIONAL LINGUISTICS AND SPEECH PROCESSING (Rocling 2022), November 2022,
  19. 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,
  20. Isao Echizen, "Real or Fake? From Biometric Data Protection to Fake Media Detection", ICSTE 2022, October 2022, Link
  21. Isao Echizen, IEICE English Webinar(Distinguished Lecturer Program Series), October 2022
  22. Isao Echizen, "Real or Fake? Fake Media Generation and Detection", INTERNATIONAL FORUM INTELLIGENCE AUGMENTATION AND AMPLIFICATION PLUS SOCIETY 2022 (IAASOC 2022), July 2022 Link
  23. 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 Speech;
  24. 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
  25. 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
  26. Junichi Yamagishi and Xin Wang, "Advancement in Neural Vocoders", Tutorial at ISCA 2021 Speech Processing Courses in Crete , 2021年7月27日
  27. Isao Echizen, "Real or Fake? The Future of Biometric Data Protection", EURASIP Journal on Image and Video Processing Webinar, May 2021
  28. 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
  29. 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
  30. Kazutoshi Sasahara, "Online echo chamber: What is it and how to break out of it?", Eurasian Summit of models for Society 2021, March 2021
  31. 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 Speech;

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. D. Gamage and K. Sasahara, “A Mixed-method Approach to Analyze Deepfake related discussions on Reddit and Twitter [Oral]”, IC2S2 2023
  3. P. Ghasiya, A. Georg, and K. Sasahara, “Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter [Poster]”, IC2S2 2023
  4. K. Miyazaki et al., “How do Toxic Comments Induce Fearful Responses in Anti-vaccine Videos on YouTube? [Poster]”, IC2S2 2023
  5. P. Ghasiya, A. Georg, and K. Sasahara, “Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter [Poster]”
  6. D. Gamage and K. Sasahara, “A Mixed-method Approach to Analyze Deepfake related discussions on Reddit and Twitter [Oral]”
  7. P. Ghasiya, A. Georg, and K. Sasahara， “Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter [Poster]”， IC2S2202,
  8. 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.
  9. Wentao Xu, Kazutoshi Sasahara, "QAnon user dynamics and topical diversity amid the COVID-19 infodemic", IC2S2 2022, accepted, July 2022
  10. Dilrukshi Gamage, Kazutoshi Sasahara, "Analyzing conversations about deepfakes in Reddit and Twitter", IC2S2 2022, accepted, July 2022
  11. 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
  12. Junichi Yamagishi and Isao Echizen, "Deepfake Video Detection", CES 2021, January 2021
  13. Jiayu Chen, Tasuku Igarashi, "Overcoming choice homophily under wealth disparities in dynamic social networks.", 5th Australian Social Network Analysis Conference, Novemver 2020
  14. Jiayu Chen, Tasuku Igarashi, "Do Well and Have Well: Favorable Behavior Breeds Rich-Poor Cooperation.", 32nd Association for Psychological Science Annual Convention, June 2020

Media coverage(Press release/ News release)

  1. Prof. ECHIZEN Isao and YAMAGISHI Junichi of Nii, SYNTHETIQ VISION, Automatic Evaluation of the Authenticity of AI-Generated Fake Facial Videos , Japan Science and Technology Agency, Research Results , April 1 2025

Media coverage(Online articles)

  1. Isao Echizen, the japantimes, Generative AI aiding quake relief in Kumamoto August 9, 2026
  2. Isao Echizen, South China Morning Post, Japan confronts the dark side of its teenagers’ AI addiction, June 21, 2026
  3. Isao Echizen, The Mainichi Japan's National Daily, The empathy illusion: Japan expert warns of limits of turning to AI for advice, May 28, 2026
  4. Isao Echizen, NIKKEI Asia, AI-fueled surge in scientific papers raises quality concerns, February 15, 2026
  5. Isao Echizen, THE ASAHI SHIMBUN, Gen-AI videos pose new threat as Japan’s bear encounters rise, December 17, 2025
  6. Isao Echizen, NIKKEI ASIA, 30 years after subway sarin attack, Japan faces lone wolves aided by AI, March 21, 2025
  7. Kazutoshi Sasahara, Junichi Yamagishi, Isao Echizen, the japantimes, Japan launches industry and academia tie-up to combat online disinformation, January 27, 2025
  8. Isao Echizen, NIKKEI ASIA, Voters across Asia contend with AI-generated fake videos and images , January 18, 2025
  9. Isao Echizen, The Mainichi Japan's National Daily, Fake scientific papers made with AI used names of 3 Japan researchers, January 15, 2025
  10. 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
  11. 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
  12. Isao Echizen, The Yomiuri Shimbun, Japan Institute Researchers Devise New Way to Fight Deepfakes, August 30, 2023
  13. Junichi Yamagishi, Forbes, Analyzing The Rise Of Deepfake Voice Technology, May 10, 2021

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

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. K. Miyazaki, T. Uchiba, K. Tanaka, and K. Sasahara, "The Strategy Behind Anti-Vaxxers’ Reply Behavior on Social Media", submitted, Preprint
  4. 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