CAAP creates universal cross-shaped adversarial patches that disrupt palmprint recognition models under realistic capture distortions, showing high attack success and partial resistance to adversarial training on multiple datasets.
Boosting black-box attack to deep neural networks with conditional diffusion models,
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CAAP: Capture-Aware Adversarial Patch Attacks on Palmprint Recognition Models
CAAP creates universal cross-shaped adversarial patches that disrupt palmprint recognition models under realistic capture distortions, showing high attack success and partial resistance to adversarial training on multiple datasets.