Achievements

Refereed journal papers

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
A. MaungMaung, I. Echizen and H. Kiya, "On the Security of Learnable Image Encryption for Privacy-Preserving Deep Learning,", IEEE Access,
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,
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,
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
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
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
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
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
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
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
P. Ghasiya, G. Ahnert, K. Sasahara, "Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter", ISocial Media + Society. 9, 20563051231199457 (2023), Link
C. C. Chang, H. H. Nguyen, J. Yamagishi, and I. Echizen, "Cyber Vaccine for Deepfake Immunity", IEEE Access, 14 pages, 2023
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
M. Kitsuregawa, S. Urushidani, K. Yamaji, H. Takakura, I. Hasuo, I. Sato, F. Ishikawa, I. Echizen, K. Mori, "Activities of National Institute of Informatics in Japan," Communications of the ACM, vol. 66. no. 7, pp. 58-63, July 2023 Link
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
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
CC Chang, X Wang, S Chen, H Kiya, I Echizen, "On the predictability in reversible steganography", Telecommunication Systems, Springer, 1-13, January 2023, Link
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
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
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
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
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
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
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
Takayuki Mizuno, Shouji Fujimoto and Atsushi Ishikawa, "Generation of individual daily trajectories by GPT-2", Front. Phys. Link
Shouji Fujimoto, Atsushi Ishikawa, Takayuki Mizuno, "Copula-based synthetic data generation in firm-size variable", The Review of Socionetwork Strategies 16, 479–492, Link
Piyush Ghasiya and Kazutoshi Sasahara, "Rapid Sharing of Islamophobic Hate on Facebook: The Case of the Tablighi Jamaat Controversy", Social Media + Society (2022), Link
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
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
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
Hiroki Ito, AprilPyone MaungMaung, Sayaka Shiota, and Hitoshi Kiya, "Access Control of Semantic Segmentation Models Using Encrypted Feature Maps", APSIPA TSIP, accepted, 2022, Preprint
AprilPyone MaungMaung, Hitoshi Kiya, "Privacy-Preserving Image Classification Using Isotropic Network", IEEE MultiMedia, accepted, April 2022, Preprint
Huy H. Nguyen, Sébastien Marcel, Junichi Yamagishi. Isao Echizen, "Master Face Attacks on Face Recognition Systems", IEEE TBIOM, accepted, April 2022, Link
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
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.
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.
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
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
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
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
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
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
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
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

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 2025, Link
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), January 2025,
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,
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,
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,
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
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
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
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,
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
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), September 2024, Link
H. Nguyen, J. Yamagishi, I. Echizen, "Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis,", Proc. of the International Joint Conference on Biometrics (IJCB2024), September 2024, Link
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,
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,
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
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
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
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
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
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
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
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
T. Ouyang, H.-Q. Nguyen, H. H. Nguyen, I. Echizen, Y. Seo, "Quality Assurance of A GPT-based Sentiment Analysis System: Adversarial Review Data Generation and Detection", Proc. of the 30th Asia-Pacific Software Engineering Conference (APSEC 2023), 8 pages, December 2023
T. Ouyang, I. Echizen, Y. Seo, "Data Quality Assurance via Local Conditional Probability Based Out-of-Distribution Detection", Proc. of the 30th Asia-Pacific Software Engineering Conference (APSEC 2023), 8 pages, December 2023
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
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
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
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
A.P. MaungMaung, I. Echizen, and H. Kiya, "Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings", APSIPA ASC 2023, 7 pages, October 2023
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
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
Lin Zhang, Xin Wang, Erica Cooper, Nicholas Evans, Junichi Yamagishi, "Range-Based Equal Error Rate for Spoof Localization", Interspeech 2023, August 2023, Link
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
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
H. Kaur, R. Shukla, I. Echizen, and P. Khanna, "Secure and Privacy Preserving Proxy Biometrics Identities", AINA 2023, March 2023, Preprint
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
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
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
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
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
Ryota Iijima, Miki Tanaka, Isao Echizen, and Hitoshi Kiya, "On the Adversarial Transferability of ConvMixer Models", APSIPA ASC 2022, Novemver 2022, Preprint
Miki Tanaka, Isao Echizen, Hitoshi Kiya, "On the Transferability of Adversarial Examples between Encrypted Models", IEEE ISPACS 2022, Novemver 2022, Preprint
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
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
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
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
Canasai Kruengkrai, Junichi Yamagishi “Mitigating the Diminishing Effect of Elastic Weight Consolidation” COLING 2022, accepted, Oct 2022
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
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
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
Zheng Qi, AprilPyone MaungMaung, Yuma Kinoshita and Hitoshi Kiya, "Privacy-Preserving Image Classification Using Vision Transformer", EUSIPCO2022, accepted, August 2022, Preprint
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
Kunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka, Kazutoshi Sasahara, "Characterizing the Anti-Vaxxers’ Reply Behavior on Social Media", WI-IAT '21, December 2021 Link
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
Erica Cooper, Wen-Chin Huang, Tomoki Toda, JunichiYamagishi, "Generalization Ability of MOS Prediction Networks", IEEE ICASSP 2022, May 2022
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
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
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
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
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
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
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
April Pyone MAUNG MAUNG, Hitoshi KIYA, "TRANSFER LEARNING-BASED MODEL PROTECTION WITH SECRET KEY,", IEEE International Conference on Image Processing, accepted, September 2021
Canasai Kruengkrai, Xin Wang, Junichi Yamagishi, "A Multi-Level Attention Model for Evidence-Based Fact Checking", Findings of ACL2021, accepted, August 2021, Preprint, code
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.
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.
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
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
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
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

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", Novemver 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.)
　

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
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
MaungMaung AprilPyone and Hitoshi Kiya, "Adversarial Defense with Secret Key", Book chapter, Frontiers in Fake Media Generation and Detection, Chapter 7, Springer, 2022
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
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
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
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
Mahdi Khosravy, Isao Echizen, Noboru Babaguchi, "Frontiers in Fake Media Generation and Detection", Springer, 2022年6月, Link
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
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

Minoru Kuribayashi, "Fighting against fake content", Keynote Speech, 2024 Seventh International Conference on Vocational Education and Electrical Engineering (ICVEE2024), October 2024, Link
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
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
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
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
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
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
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
Isao Echizen, "The Risks and Opportunities of Generative AI", G7 Mito Ibaraki: Interior and Security Ministers' Meeting, December 9, 2023
Mehul S. Raval, Minoru Kuribayashi, Mohendra Roy, "Spoofing Face Recognition Systems with Adversarial Examples: Challenges and Countermeasures", Tutorial, APSIPA ASC 2023, October 2023
Minoru Kuribayashi, "Classification of Fake Content Created by Generative AI", Invited Speech, International Conference on Computer and Communications Management (ICCCM 2023), August 2023,
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
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
Isao Echizen, "Fake media detection and its practical application", Dagstuhl Seminar 23021, Media Forensics and the Challenge of Big Data, January 2023, Link
Junichi Yamagishi, “Speech Synthesis Research 2.0”, THE 34TH CONFERENCE ON COMPUTATIONAL LINGUISTICS AND SPEECH PROCESSING (Rocling 2022), November 2022,
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,
Isao Echizen, "Real or Fake? From Biometric Data Protection to Fake Media Detection", ICSTE 2022, October 2022, Link
Isao Echizen, IEICE English Webinar(Distinguished Lecturer Program Series), October 2022
Isao Echizen, "Real or Fake? Fake Media Generation and Detection", INTERNATIONAL FORUM INTELLIGENCE AUGMENTATION AND AMPLIFICATION PLUS SOCIETY 2022 (IAASOC 2022), July 2022 Link
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>
Isao Echizen, "Real or Fake? From Biometric Data Protection to Fake Media Detection", The 2nd International JST-ERCIM Workshop, December 8, 2021, Link
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
Huy H. Nguyen, "Deepfake Generation and Detection – An Overview", The 27th Symposium on Sensing via Image Information, June 2021, Slides, Presentation Video
Isao Echizen, "Real or Fake? The Future of Biometric Data Protection", EURASIP Journal on Image and Video Processing Webinar, May 2021
M. Kuribayashi, "Adversarial Examples of Deep Learning System and Its Defense", IEEE Computational Intelligence Society Chapter and Ahmedabad University, March 2021
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
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
Kazutoshi Sasahara, "Online echo chamber: What is it and how to break out of it?", Eurasian Summit of models for Society 2021, March 2021
Isao Echizen, "Real or Fake? The future of biometric data protection", The 2021 2nd Asia Service Sciences and Software Engineering (ASSE) Conference, February 2021

Oral Presentation, Poster・demo

D. Gamage and K. Sasahara, “A Mixed-method Approach to Analyze Deepfake related discussions on Reddit and Twitter [Oral]”, IC2S2 2023
P. Ghasiya, A. Georg, and K. Sasahara, “Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter [Poster]”, IC2S2 2023
K. Miyazaki et al., “How do Toxic Comments Induce Fearful Responses in Anti-vaccine Videos on YouTube? [Poster]”, IC2S2 2023
Piyush Ghasiya Kazutoshi Sasahara, "Rapid Sharing of Islamophobic Hate on Facebook: The Case of the Tablighi Jamaat Controversy", IC2S2 2022, accepted, July 2022
Wentao Xu, Kazutoshi Sasahara, "QAnon user dynamics and topical diversity amid the COVID-19 infodemic", IC2S2 2022, accepted, July 2022
Dilrukshi Gamage, Kazutoshi Sasahara, "Analyzing conversations about deepfakes in Reddit and Twitter", IC2S2 2022, accepted, July 2022
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
Junichi Yamagishi and Isao Echizen, "Deepfake Video Detection", CES 2021, January 2021
Jiayu Chen, Tasuku Igarashi, "Overcoming choice homophily under wealth disparities in dynamic social networks.", 5th Australian Social Network Analysis Conference, Novemver 2020
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)

Media coverage(Online articles)

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
Isao Echizen, The Yomiuri Shimbun, Japan Institute Researchers Devise New Way to Fight Deepfakes, August 30, 2023
Junichi Yamagishi, Forbes, Analyzing The Rise Of Deepfake Voice Technology, May 10, 2021
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)

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

A.P.M. Maung and H. Kiya, Japan Student Journal Paper Award, IEEE Signal Processing Society (SPS) , 2022

Others

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