adversarial attack

Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning AAAI 2025 Attacks by Content: Automated Fact-checking is an AI Security Issue EMNLP 2025 Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment EMNLP 2025 Attention to Neural Plagiarism: Diffusion Models Can Plagiarize Your Copyrighted Images! ICCV 2025 Augmented Adversarial Trigger Learning NAACL 2025 AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models AAAI 2025 Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion AAAI 2025 Average Certified Radius is a Poor Metric for Randomized Smoothing ICML 2025 AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs ICCV 2025 B4: A Black-Box Scrubbing Attack on LLM Watermarks NAACL 2025 Backdoor Attack on Propagation-based Rumor Detectors AAAI 2025 Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger AAAI 2025 Backtracking Improves Generation Safety ICLR 2025 BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge ICLR 2025 BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models CVPR 2025 BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks IJCAI 2025 Beneath the Facade: Probing Safety Vulnerabilities in LLMs via Auto-Generated Jailbreak Prompts EMNLP 2025 Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks ACL 2025 BinarySelect to Improve Accessibility of Black-Box Attack Research COLING 2025 BitAbuse: A Dataset of Visually Perturbed Texts for Defending Phishing Attacks NAACL 2025 Bit-Flip Induced Latency Attacks in Object Detection WACV 2025 Black-Box Adversarial Attacks on LLM-Based Code Completion ICML 2025 Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models CVPR 2025 Boosting Adversarial Transferability via Negative Hessian Trace Regularization ICCV 2025 Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025