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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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TitleStatusHype
Adversarial Attacks and Robust Defenses in Speaker Embedding based Zero-Shot Text-to-Speech System—0
DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models—0
Diffusion-Based Adversarial Purification for Speaker Verification—0
Adversarial Purification through Representation Disentanglement—0
Adversarial purification for no-reference image-quality metrics: applicability study and new methods—0
Advancing Adversarial Robustness Through Adversarial Logit Update—0
Gradient-Free Adversarial Purification with Diffusion Models—0
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification—0
Defending Against Frequency-Based Attacks with Diffusion Models—0
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models—0
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