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Dinggen Zhang

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Preprint Jul 2026

AMRM-Pure: Semantic-Preserving Adversarial Purification

This work proposes AMRM-Pure, a purification framework that denoises adversarial inputs by preserving patch-level semantics, and formulate this process as a tractable optimization problem with respect to the input.

Zhihao Dou, Zhiqiang Gao, Dongfei Cui et al. · 0 citations