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Adversarial Purification

A class of adversarial defense methods that remove adversarial perturbations using a generative model.

Papers

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Showing 41–50 of 65 papers

TitleStatusHype
Robust Diffusion Models for Adversarial Purification—0
Towards Adversarial Purification using Denoising AutoEncoders—0
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective—0
Towards more transferable adversarial attack in black-box manner—0
ZeroPur: Succinct Training-Free Adversarial Purification—0
Guided Diffusion Model for Adversarial Purification from Random Noise—0
How Do Diffusion Models Improve Adversarial Robustness?—0
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training—0
Instant Adversarial Purification with Adversarial Consistency Distillation—0
Large Language Model Sentinel: LLM Agent for Adversarial Purification—0
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