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Sep, 2023
DiffDefense: 通过扩散模型抵御对抗性攻击
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
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Hondamunige Prasanna Silva, Lorenzo Seidenari, Alberto Del Bimbo
TL;DR
这篇论文提出了一种新的重建方法,利用扩散模型来保护机器学习分类器免受对抗攻击,而无需对分类器本身进行任何修改。
Abstract
This paper presents a novel
reconstruction method
that leverages
diffusion models
to protect
machine learning classifiers
against
→