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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 11–20 of 65 papers

TitleStatusHype
Guided Diffusion Model for Adversarial PurificationCode1
Adversarial purification with Score-based generative modelsCode1
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based ModelsCode1
DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models—0
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs—0
How Do Diffusion Models Improve Adversarial Robustness?—0
Towards more transferable adversarial attack in black-box manner—0
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain—0
Defending Against Frequency-Based Attacks with Diffusion Models—0
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial AttacksCode0
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