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Adversarial Purification

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

Papers

Showing 1120 of 65 papers

TitleStatusHype
Defending against Adversarial Audio via Diffusion ModelCode1
Adversarial purification with Score-based generative modelsCode1
Guided Diffusion Model for Adversarial PurificationCode1
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial AttacksCode0
High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image SynthesisCode0
Language Guided Adversarial PurificationCode0
PCLD: Point Cloud Layerwise Diffusion for Adversarial PurificationCode0
Adversarial Purification of Information MaskingCode0
Detecting and Defending Against Adversarial Attacks on Automatic Speech Recognition via Diffusion ModelsCode0
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local SmoothingCode0
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