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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 31–40 of 65 papers

TitleStatusHype
MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model—0
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation—0
MsMemoryGAN: A Multi-scale Memory GAN for Palm-vein Adversarial Purification—0
Online Adversarial Purification based on Self-supervised Learning—0
Online Adversarial Purification based on Self-Supervision—0
Adversarial purification for no-reference image-quality metrics: applicability study and new methods—0
Adversarial Purification with the Manifold Hypothesis—0
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks—0
Rapid Plug-in Defenders—0
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness—0
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