Security & Privacy

DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields AAAI 2025 Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language Models NAACL 2025 Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee IJCAI 2025 Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing CVPR 2025 Efficient but Vulnerable: Benchmarking and Defending LLM Batch Prompting Attack ACL 2025 Efficiently Identifying Watermarked Segments in Mixed-Source Texts ACL 2025 ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models ACL 2025 Enhancing Facial Privacy Protection via Weakening Diffusion Purification CVPR 2025 Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy AISTATS 2025 Enhancing Learning with Label Differential Privacy by Vector Approximation ICLR 2025 Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy AAAI 2025 EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection CVPR 2025 Erasing Undesirable Influence in Diffusion Models CVPR 2025 ESC: Erasing Space Concept for Knowledge Deletion CVPR 2025 Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study EMNLP 2025 EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint EMNLP 2025 Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm ICLR 2025 Exploiting Instruction-Following Retrievers for Malicious Information Retrieval ACL 2025 Exploiting the Shadows: Unveiling Privacy Leaks through Lower-Ranked Tokens in Large Language Models ACL 2025 Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting AAAI 2025 Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025 Federated Graph Condensation with Information Bottleneck Principles AAAI 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025 Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning ICCV 2025 FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits AISTATS 2025