activity
20182022
most citedUse of a Capsule Network to Detect Fake Images and Videos

132 citations · 186 across the 13 of their papers we have counts for

collaborators

17 papers

cs.CV20222 cited

Face Forgery Detection Based on Facial Region Displacement Trajectory Series

YuYang Sun, ZhiYong Zhang, Isao Echizen +3

Deep-learning-based technologies such as deepfakes ones have been attracting widespread attention in both society and academia, particularly ones used to synthesize forged face ima…

cs.CV2022

Analysis of Master Vein Attacks on Finger Vein Recognition Systems

Huy H. Nguyen, Trung-Nghia Le, Junichi Yamagishi +1

Finger vein recognition (FVR) systems have been commercially used, especially in ATMs, for customer verification. Thus, it is essential to measure their robustness against various…

cs.CV2022

Robust Deepfake On Unrestricted Media: Generation And Detection

Trung-Nghia Le, Huy H Nguyen, Junichi Yamagishi +1

Recent advances in deep learning have led to substantial improvements in deepfake generation, resulting in fake media with a more realistic appearance. Although deepfake media have…

cs.CV2021

Master Face Attacks on Face Recognition Systems

Huy H. Nguyen, Sébastien Marcel, Junichi Yamagishi +1

Face authentication is now widely used, especially on mobile devices, rather than authentication using a personal identification number or an unlock pattern, due to its convenience…

cs.CV20211 cited

OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild

Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi +1

The proliferation of deepfake media is raising concerns among the public and relevant authorities. It has become essential to develop countermeasures against forged faces in social…

cs.CV20211 cited

Fashion-Guided Adversarial Attack on Person Segmentation

Marc Treu, Trung-Nghia Le, Huy H. Nguyen +2

This paper presents the first adversarial example based method for attacking human instance segmentation networks, namely person segmentation networks in short, which are harder to…