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20212023
most citedDENSE: Data-Free One-Shot Federated Learning

33 citations · 82 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023

Exploring the Adversarial Robustness of Face Forgery Detection with Decision-based Black-box Attacks

Zhaoyu Chen, Bo Li, Kaixun Jiang +3

Face forgery generation technologies generate vivid faces, which have raised public concerns about security and privacy. Many intelligent systems, such as electronic payment and id…

cs.CV2023★ 2 cited

Query-Efficient Decision-based Black-Box Patch Attack

Zhaoyu Chen, Bo Li, Shuang Wu +2

Deep neural networks (DNNs) have been showed to be highly vulnerable to imperceptible adversarial perturbations. As a complementary type of adversary, patch attacks that introduce…

cs.CV2023★ 10 cited

Content-based Unrestricted Adversarial Attack

Zhaoyu Chen, Bo Li, Shuang Wu +3

Unrestricted adversarial attacks typically manipulate the semantic content of an image (e.g., color or texture) to create adversarial examples that are both effective and photoreal…

cs.CV2023★ 3 cited

EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing

Tianyi Zheng

The face anti-spoofing (FAS) method performs well under intra-domain setups. However, its cross-domain performance is unsatisfactory. As a result, the domain generalization (DG) me…

cs.CV2022

Towards Practical Certifiable Patch Defense with Vision Transformer

Zhaoyu Chen, Bo Li, Jianghe Xu +3

Patch attacks, one of the most threatening forms of physical attack in adversarial examples, can lead networks to induce misclassification by modifying pixels arbitrarily in a cont…