Adversarial Learning

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NeurIPS 2024 Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion AAAI 2024 Transferable Adversarial Attacks on SAM and Its Downstream Models NeurIPS 2024 Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training CVPR 2024 Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NeurIPS 2024 TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification ACL 2024 TrojFSP: Trojan Insertion in Few-shot Prompt Tuning NAACL 2024 TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024 Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection ICML 2024 Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors NAACL 2024 Typos that Broke the RAG’s Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations EMNLP 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Uncertainty-Weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation WACV 2024 Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense NeurIPS 2024 Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation NeurIPS 2024 Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks ICLR 2024 Ungeneralizable Examples CVPR 2024 Uniformly Stable Algorithms for Adversarial Training and Beyond ICML 2024 United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories NeurIPS 2024 Universal Backdoor Attacks ICLR 2024 Universal Jailbreak Backdoors from Poisoned Human Feedback ICLR 2024 Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution CVPR 2024 Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024 Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion COLING 2024 UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NeurIPS 2024