Privacy

OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting AAAI 2025 OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models IJCAI 2025 On Consistent Bayesian Inference from Synthetic Data JMLR 2025 One VLM to Keep it Learning: Generation and Balancing for Data-Free Continual Visual Question Answering WACV 2025 On Large Language Model Continual Unlearning ICLR 2025 On Probabilistic Truncation in Privacy-preserving Machine Learning AAAI 2025 On the Byzantine-Resilience of Distillation-Based Federated Learning ICLR 2025 On the Impact of Noise in Differentially Private Text Rewriting NAACL 2025 On the Vulnerability of Text Sanitization NAACL 2025 Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025 PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025 Pacmann: Efficient Private Approximate Nearest Neighbor Search ICLR 2025 Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025 PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality NSDI 2025 PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles NAACL 2025 Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025 PD3F: A Pluggable and Dynamic DoS-Defense Framework against resource consumption attacks targeting Large Language Models EMNLP 2025 Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach IJCAI 2025 PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data ACL 2025 Personalization up to a Point: Why Personalized Content Moderation Needs Boundaries, and How We Can Enforce Them EMNLP 2025 Personalized Language Models via Privacy-Preserving Evolutionary Model Merging EMNLP 2025 Personalized Mixture of Experts for Multi-Site Medical Image Segmentation WACV 2025 Person De-reidentification: A Variation-guided Identity Shift Modeling CVPR 2025 pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation CVPR 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025