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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 41–50 of 65 papers

TitleStatusHype
Adversarial Purification through Representation Disentanglement—0
Text Adversarial Purification as Defense against Adversarial Attacks—0
Robust Diffusion Models for Adversarial Purification—0
Towards Adversarial Purification using Denoising AutoEncoders—0
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective—0
Towards more transferable adversarial attack in black-box manner—0
Adversarial Text Purification: A Large Language Model Approach for Defense—0
ADBM: Adversarial diffusion bridge model for reliable adversarial purification—0
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information—0
Defending Against Frequency-Based Attacks with Diffusion Models—0
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