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Research2026-05-08

Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations

Source: Arxiv CS.AI

arXiv:2605.06357v1 Announce Type: cross Abstract: This work studies the robust evaluation of iterative stochastic purification defenses under white-box adversarial attacks. Our key technical insight is that gradient checkpointing makes exact end-to-end gradient computation through long purification...

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