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ENTITY Black-Box Score-Based Adversarial Example Attacks

Black-Box Score-Based Adversarial Example Attacks

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  1. RESEARCH · CL_147440 ·

    New defense Random Logit Scaling protects AI models from adversarial attacks

    Researchers have introduced Random Logit Scaling (RLS), a new defense mechanism designed to protect deep neural networks against black-box score-based adversarial example attacks. RLS functions as a post-processing step…