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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 31–40 of 65 papers

TitleStatusHype
Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds—0
Gradient-Free Adversarial Purification with Diffusion Models—0
Adversarial Purification and Fine-tuning for Robust UDC Image Restoration—0
Guided Diffusion Model for Adversarial Purification from Random Noise—0
Adversarial Purification with the Manifold Hypothesis—0
How Do Diffusion Models Improve Adversarial Robustness?—0
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training—0
Instant Adversarial Purification with Adversarial Consistency Distillation—0
Advancing Adversarial Robustness Through Adversarial Logit Update—0
Large Language Model Sentinel: LLM Agent for Adversarial Purification—0
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