privacy preservation

Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss EMNLP 2025 OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models IJCAI 2025 Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025 PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements EMNLP 2025 PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles NAACL 2025 Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach AAAI 2025 Personalized Language Models via Privacy-Preserving Evolutionary Model Merging EMNLP 2025 Person De-reidentification: A Variation-guided Identity Shift Modeling CVPR 2025 Predicting Event Memorability using Personalized Federated Learning WACV 2025 Privacy-and-Utility-Aware Publishing of Schedules AAAI 2025 Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models AAAI 2025 Privacy Preserving Solution of DCOPs by Local Search IJCAI 2025 Privacy-Preserving Speaker Verification via End-to-End Secure Representation Learning Interspeech 2025 PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders EMNLP 2025 PrivateEye: In-Sensor Privacy Preservation Through Optical Feature Separation WACV 2025 Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents ACL 2025 PsyDial: A Large-scale Long-term Conversational Dataset for Mental Health Support ACL 2025 RecordTwin: Towards Creating Safe Synthetic Clinical Corpora ACL 2025 RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service ACL 2025 Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models COLING 2025 Reveal and Release: Iterative LLM Unlearning with Self-generated Data EMNLP 2025 ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewriting IJCNLP 2025 Robust Utility-Preserving Text Anonymization Based on Large Language Models ACL 2025 Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home? EMNLP 2025 ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression AAAI 2025