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ENTITY Consistency Model-based Adversarial Purification

Consistency Model-based Adversarial Purification

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  1. TOOL · CL_183368 ·

    New adversarial purification method enhances DNN robustness

    Researchers have developed a new method called Consistency Model-based Adversarial Purification (CMAP) to defend deep neural networks against adversarial attacks. CMAP optimizes vectors within the latent space of a pre-…