most citedImproving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.CV2023★ 6 cited

Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration

Fengfan Zhou, Hefei Ling, Yuxuan Shi +2

Adversarial face examples possess two critical properties: Visual Quality and Transferability. However, existing approaches rarely address these properties simultaneously, leading…