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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 51–65 of 65 papers

TitleStatusHype
Rapid Plug-in Defenders—0
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks—0
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness—0
ADBM: Adversarial diffusion bridge model for reliable adversarial purification—0
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information—0
Adversarial Text Purification: A Large Language Model Approach for Defense—0
Defending Against Frequency-Based Attacks with Diffusion Models—0
Text Adversarial Purification as Defense against Adversarial Attacks—0
Adversarial Purification through Representation Disentanglement—0
DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models—0
Robust Diffusion Models for Adversarial Purification—0
Diffusion-Based Adversarial Purification for Speaker Verification—0
Adversarial Attacks and Robust Defenses in Speaker Embedding based Zero-Shot Text-to-Speech System—0
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain—0
Adversarial purification for no-reference image-quality metrics: applicability study and new methods—0
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