activity
20202022
most citedAdv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition

23 citations · 91 across the 11 of their papers we have counts for

collaborators

14 papers

cs.CR2022

Artificial Intelligence Security Competition (AISC)

Yinpeng Dong, Peng Chen, Senyou Deng +49

The security of artificial intelligence (AI) is an important research area towards safe, reliable, and trustworthy AI systems. To accelerate the research on AI security, the Artifi…

cs.CV202223 cited

Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition

Shuai Jia, Bangjie Yin, Taiping Yao +4

Deep learning models have shown their vulnerability when dealing with adversarial attacks. Existing attacks almost perform on low-level instances, such as pixels and super-pixels,…

cs.CV20225 cited

Exploring Frequency Adversarial Attacks for Face Forgery Detection

Shuai Jia, Chao Ma, Taiping Yao +3

Various facial manipulation techniques have drawn serious public concerns in morality, security, and privacy. Although existing face forgery classifiers achieve promising performan…

cs.CV20217 cited

Spatiotemporal Inconsistency Learning for DeepFake Video Detection

Zhihao Gu, Yang Chen, Taiping Yao +4

The rapid development of facial manipulation techniques has aroused public concerns in recent years. Following the success of deep learning, existing methods always formulate DeepF…

cs.CV20218 cited

Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing

Shubao Liu, Ke-Yue Zhang, Taiping Yao +5

With various face presentation attacks arising under unseen scenarios, face anti-spoofing (FAS) based on domain generalization (DG) has drawn growing attention due to its robustnes…

cs.CV20214 cited

Structure Destruction and Content Combination for Face Anti-Spoofing

Ke-Yue Zhang, Taiping Yao, Jian Zhang +4

In pursuit of consolidating the face verification systems, prior face anti-spoofing studies excavate the hidden cues in original images to discriminate real persons and diverse att…