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Adversarial Learning

4854 directly classified papers

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Papers

Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization CVPR 2025
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI CVPR 2025
A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment CVPR 2025
ACE: Anti-Editing Concept Erasure in Text-to-Image Models CVPR 2025
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted CVPR 2025
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework CVPR 2025
Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent CVPR 2025
Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients CVPR 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems CVPR 2025
Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation ICCV 2025
Scaling and Taming Adversarial Training with Synthetic Data ICCV 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
One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models ICCV 2025
VPR-Cloak: A First Look at Privacy Cloak Against Visual Place Recognition ICCV 2025
NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations ICCV 2025
KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles ICCV 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework CVPR 2025
Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal CVPR 2025
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics ICCV 2025
Doppelgangers and Adversarial Vulnerability CVPR 2025
Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features ICCV 2025
Learning Counterfactually Decoupled Attention for Open-World Model Attribution ICCV 2025