I am Huy H. Nguyen (Nguyễn Hồng Huy in Vietnamese).
I am currently a specially appointed assistant professor (特任助教) at Echizen Laboratory, National Institute of Informatics, Tokyo, Japan. My research interests include security and privacy in biometrics and machine learning, plus fake media generation and detection.
I received my BS. degree (honors program) from VNUHCM - University of Science, Vietnam, in 2013, and my Ph.D. degree from The Graduate University for Advanced Studies, SOKENDAI in alliance with the National Institute of Informatics, Japan, in 2022. For more details, please have a look at my CV here (last update: Apr. 2022).
- Our work on adversarial image purification was accepted to IEEE Open Journal of Signal Processing (paper, source code will be published soon).
- Two papers were accepted to WACV 2023. One is about master vein attacks on finger vein recognition systems (arXiv); the other is about the theory of the non-robust features on the transferability of adversarial examples (arXiv).
- Our work on applying adversarial machine learning for privacy protection was accepted to WIFS 2022. Another work on the same topic was previously published in CVPRW 2021.
- Our premier work on master faces was published in IJCB 2020 (arXiv) and IEEE T-BIOM (arXiv)
- Our book chapters on deepfake detection were published in Handbook of Digital Face Manipulation and Detection - From DeepFakes to Morphing Attacks (implementation) and Frontiers in Fake Media Generation and Detection.
- Our paper on the OpenForensics dataset was published in ICCV 2021 (Implementation).
- Our early work on deepfake detection and segmentation was published in ICASSP 2019 (arXiv, implementation) and BTAS 2019 (arXiv, implementation).
Please contact me at