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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 1–25 of 65 papers

TitleStatusHype
Diffusion Models for Adversarial PurificationCode2
FlowPure: Continuous Normalizing Flows 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
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion AttacksCode1
Diffusion models meet image counter-forensicsCode1
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial PurificationCode1
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion ModelsCode1
Robust Evaluation of Diffusion-Based Adversarial PurificationCode1
Defending against Adversarial Audio via Diffusion ModelCode1
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
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation—0
VideoPure: Diffusion-based Adversarial Purification for Video RecognitionCode0
Gradient-Free Adversarial Purification with Diffusion Models—0
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification—0
Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds—0
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