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Adversarial Purification
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A class of adversarial defense methods that remove adversarial perturbations using a generative model.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs
How Do Diffusion Models Improve Adversarial Robustness?
Towards more transferable adversarial attack in black-box manner
FlowPure: Continuous Normalizing Flows for Adversarial Purification
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Defending Against Frequency-Based Attacks with Diffusion Models
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation
VideoPure: Diffusion-based Adversarial Purification for Video Recognition
Gradient-Free Adversarial Purification with Diffusion Models
Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks
Random Sampling for Diffusion-based Adversarial Purification
Adversarial Attacks and Robust Defenses in Speaker Embedding based Zero-Shot Text-to-Speech System
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
Detecting and Defending Against Adversarial Attacks on Automatic Speech Recognition via Diffusion Models
High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image Synthesis
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification
Instant Adversarial Purification with Adversarial Consistency Distillation
MsMemoryGAN: A Multi-scale Memory GAN for Palm-vein Adversarial Purification
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
Diffusion-based Adversarial Purification for Intrusion Detection
ZeroPur: Succinct Training-Free Adversarial Purification
Large Language Model Sentinel: LLM Agent for Adversarial Purification
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
Adversarial purification for no-reference image-quality metrics: applicability study and new methods
Robust Diffusion Models for Adversarial Purification
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification
Adversarial Purification and Fine-tuning for Robust UDC Image Restoration
Adversarial Text Purification: A Large Language Model Approach for Defense
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
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