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Adversarial Learning

4854 directly classified papers

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Papers

ToxiPrompt: A Two-Stage Red-Teaming Approach for Balancing Adversarial Prompt Diversity and Response Toxicity EACL 2026
CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage AAAI 2026
IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection AAAI 2026
VoiceCloak: A Multi-Dimensional Defense Framework Against Unauthorized Diffusion-Based Voice Cloning AAAI 2026
Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification AAAI 2026
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI 2025
Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks AAAI 2025
Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025
Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning AAAI 2025
AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs ICCV 2025
Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions ICCV 2025
Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025
Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance ICCV 2025
NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping ICCV 2025
Sibai: A Few-Shot Meta-Classifier for Poisoning Detection in Federated Learning ICCV 2025
Unified Adversarial Augmentation for Improving Palmprint Recognition ICCV 2025
Gradient-Reweighted Adversarial Camouflage for Physical Object Detection Evasion ICCV 2025
BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation ICCV 2025
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models ICCV 2025
Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training ICCV 2025
PBCAT: Patch-Based Composite Adversarial Training against Physically Realizable Attacks on Object Detection ICCV 2025
StealthAttack: Robust 3D Gaussian Splatting Poisoning via Density-Guided Illusions ICCV 2025
DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination WACV 2025
ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast & Slow Reasoning for Robust Agent Defense EMNLP 2025