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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 51–60 of 65 papers

TitleStatusHype
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models—0
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness—0
Diffusion-Based Adversarial Purification for Speaker Verification—0
Language Guided Adversarial PurificationCode0
Advancing Adversarial Robustness Through Adversarial Logit Update—0
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local SmoothingCode0
Rapid Plug-in Defenders—0
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial RobustnessCode0
Adversarial Purification with the Manifold Hypothesis—0
Towards Adversarial Purification using Denoising AutoEncoders—0
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