132 citations · 196 across the 20 of their papers we have counts for
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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…
On the Transferability of Adversarial Examples between Encrypted Models
Miki Tanaka, Isao Echizen, Hitoshi Kiya
Deep neural networks (DNNs) are well known to be vulnerable to adversarial examples (AEs). In addition, AEs have adversarial transferability, namely, AEs generated for a source mod…
EASE: Entity-Aware Contrastive Learning of Sentence Embedding
Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada +2
We present EASE, a novel method for learning sentence embeddings via contrastive learning between sentences and their related entities. The advantage of using entity supervision is…
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…