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Adversarial Purification

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

Papers

Showing 6165 of 65 papers

TitleStatusHype
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial AttacksCode0
Detecting and Defending Against Adversarial Attacks on Automatic Speech Recognition via Diffusion ModelsCode0
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local SmoothingCode0
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSMCode0
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial RobustnessCode0
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