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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift CVPR 2025
Invisible Backdoor Attack against Self-supervised Learning CVPR 2025
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification CVPR 2025
Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking CVPR 2025
Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization CVPR 2025
Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation CVPR 2025
Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis CVPR 2025
RAEncoder: A Label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection CVPR 2025
Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation CVPR 2025
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models CVPR 2025
I2VGuard: Safeguarding Images against Misuse in Diffusion-based Image-to-Video Models CVPR 2025
Saliuitl: Ensemble Salience Guided Recovery of Adversarial Patches against CNNs CVPR 2025
Test-Time Backdoor Detection for Object Detection Models CVPR 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning CVPR 2025
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement CVPR 2025
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework CVPR 2025
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models CVPR 2025
Instant Adversarial Purification with Adversarial Consistency Distillation CVPR 2025
Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game CVPR 2025
Improving Transferable Targeted Attacks with Feature Tuning Mixup CVPR 2025
Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks CVPR 2025
IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image Generation CVPR 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks CVPR 2025
Does Knowing More Make You Easier to Trick? Adversarial Robustness of Multi-Target Regression AAAI 2025