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.
Contactless palmprint identification using deeply learned residual features
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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.