1.8k citations · 2.1k across the 46 of their papers we have counts for
46 papers
VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations
Hoang-Quoc Nguyen-Son, Seira Hidano, Kazuhide Fukushima +2
Adversarial attacks reveal serious flaws in deep learning models. More dangerously, these attacks preserve the original meaning and escape human recognition. Existing methods for d…
Cyber Vaccine for Deepfake Immunity
Ching-Chun Chang, Huy Hong Nguyen, Junichi Yamagishi +1
Deepfakes pose an evolving threat to cybersecurity, which calls for the development of automated countermeasures. While considerable forensic research has been devoted to the detec…
Secure and Privacy Preserving Proxy Biometrics Identities
Harkeerat Kaur, Rishabh Shukla, Isao Echizen +1
With large-scale adaption to biometric based applications, security and privacy of biometrics is utmost important especially when operating in unsupervised online mode. This work p…
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…
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…
On the Adversarial Transferability of ConvMixer Models
Ryota Iijima, Miki Tanaka, Isao Echizen +1
Deep neural networks (DNNs) are well known to be vulnerable to adversarial examples (AEs). In addition, AEs have adversarial transferability, which means AEs generated for a source…