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20202026
most citedInstance-Aware Domain Generalization for Face Anti-Spoofing

99 citations · 361 across the 41 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

Contrastive Pseudo Learning for Open-World DeepFake Attribution

Zhimin Sun, Shen Chen, Taiping Yao +4

The challenge in sourcing attribution for forgery faces has gained widespread attention due to the rapid development of generative techniques. While many recent works have taken es…

cs.CV2023★ 1 cited

Continual Face Forgery Detection via Historical Distribution Preserving

Ke Sun, Shen Chen, Taiping Yao +3

Face forgery techniques have advanced rapidly and pose serious security threats. Existing face forgery detection methods try to learn generalizable features, but they still fall sh…

cs.CV2023★ 4 cited

Towards General Visual-Linguistic Face Forgery Detection

Ke Sun, Shen Chen, Taiping Yao +4

Deepfakes are realistic face manipulations that can pose serious threats to security, privacy, and trust. Existing methods mostly treat this task as binary classification, which us…

cs.CV2023★ 99 cited

Instance-Aware Domain Generalization for Face Anti-Spoofing

Qianyu Zhou, Ke-Yue Zhang, Taiping Yao +4

Face anti-spoofing (FAS) based on domain generalization (DG) has been recently studied to improve the generalization on unseen scenarios. Previous methods typically rely on domain…

cs.CV2023★ 2 cited

Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition

Zexin Li, Bangjie Yin, Taiping Yao +4

A hard challenge in developing practical face recognition (FR) attacks is due to the black-box nature of the target FR model, i.e., inaccessible gradient and parameter information…