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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 1–50 of 65 papers

TitleStatusHype
Diffusion Models for Adversarial PurificationCode2
Diffusion models meet image counter-forensicsCode1
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion ModelsCode1
Robust Evaluation of Diffusion-Based Adversarial PurificationCode1
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion AttacksCode1
FlowPure: Continuous Normalizing Flows for Adversarial PurificationCode1
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial PurificationCode1
Guided Diffusion Model for Adversarial PurificationCode1
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality MetricsCode1
Adversarial Training on Purification (AToP): Advancing Both Robustness and GeneralizationCode1
Adversarial purification with Score-based generative modelsCode1
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based ModelsCode1
Defending against Adversarial Audio via Diffusion ModelCode1
DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models—0
Adversarial Attacks and Robust Defenses in Speaker Embedding based Zero-Shot Text-to-Speech System—0
Diffusion-Based Adversarial Purification for Speaker Verification—0
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model—0
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain—0
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification—0
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs—0
Gradient-Free Adversarial Purification with Diffusion Models—0
Guided Diffusion Model for Adversarial Purification from Random Noise—0
Adversarial Purification and Fine-tuning for Robust UDC Image Restoration—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
Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds—0
Large Language Model Sentinel: LLM Agent for Adversarial Purification—0
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models—0
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification—0
MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model—0
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation—0
MsMemoryGAN: A Multi-scale Memory GAN for Palm-vein Adversarial Purification—0
Online Adversarial Purification based on Self-supervised Learning—0
Online Adversarial Purification based on Self-Supervision—0
Adversarial purification for no-reference image-quality metrics: applicability study and new methods—0
Adversarial Purification with the Manifold Hypothesis—0
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks—0
Rapid Plug-in Defenders—0
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness—0
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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