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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
Detecting and Defending Against Adversarial Attacks on Automatic Speech Recognition via Diffusion ModelsCode0
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification—0
Instant Adversarial Purification with Adversarial Consistency Distillation—0
MsMemoryGAN: A Multi-scale Memory GAN for Palm-vein Adversarial Purification—0
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information—0
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model—0
ADBM: Adversarial diffusion bridge model for reliable adversarial purification—0
Diffusion-based Adversarial Purification for Intrusion DetectionCode0
ZeroPur: Succinct Training-Free Adversarial Purification—0
Large Language Model Sentinel: LLM Agent for Adversarial Purification—0
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