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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
Adversarial purification for no-reference image-quality metrics: applicability study and new methods—0
Robust Diffusion Models for Adversarial Purification—0
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSMCode0
PCLD: Point Cloud Layerwise Diffusion for Adversarial PurificationCode0
Adversarial Purification and Fine-tuning for Robust UDC Image Restoration—0
Adversarial Text Purification: A Large Language Model Approach for Defense—0
Adversarial Training on Purification (AToP): Advancing Both Robustness and GeneralizationCode1
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks—0
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion AttacksCode1
MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model—0
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