adversarial attack

QuantAttack: Exploiting Quantization Techniques to Attack Vision Transformers WACV 2025 Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective IJCAI 2025 Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning AAAI 2025 Quickest Detection of Adversarial Attacks Against Correlated Equilibria AAAI 2025 Randomized Smoothing Meets Vision-Language Models EMNLP 2025 RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors AAAI 2025 RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learning IJCAI 2025 Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks AAAI 2025 RedHerring Attack: Testing the Reliability of Attack Detection EMNLP 2025 RedHit: Adaptive Red-Teaming of Large Language Models via Search, Reasoning, and Preference Optimization ACL 2025 Red-Teaming for Uncovering Societal Bias in Large Language Models ACL 2025 REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective ICML 2025 Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters AAAI 2025 Reliability Crisis of Reference-free Metrics for Grammatical Error Correction EMNLP 2025 Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks IJCAI 2025 RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering IJCAI 2025 RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework IJCAI 2025 Representation Bending for Large Language Model Safety ACL 2025 Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks ICLR 2025 Retention Score: Quantifying Jailbreak Risks for Vision Language Models AAAI 2025 Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives ICLR 2025 Rethinking Backdoor Detection Evaluation for Language Models EMNLP 2025 Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025 Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game CVPR 2025 REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLMs IJCAI 2025