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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 26–50 of 65 papers

TitleStatusHype
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial AttacksCode0
Random Sampling for Diffusion-based Adversarial PurificationCode0
Adversarial Attacks and Robust Defenses in Speaker Embedding based Zero-Shot Text-to-Speech System—0
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training—0
High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image SynthesisCode0
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 PurificationCode0
Large Language Model Sentinel: LLM Agent for Adversarial Purification—0
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective—0
Adversarial purification for no-reference image-quality metrics: applicability study and new methods—0
Robust Diffusion Models for Adversarial Purification—0
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSMCode0
PCLD: Point Cloud Layerwise Diffusion for Adversarial PurificationCode0
Adversarial Purification and Fine-tuning for Robust UDC Image Restoration—0
Adversarial Text Purification: A Large Language Model Approach for Defense—0
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks—0
MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model—0
Adversarial Purification of Information MaskingCode0
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