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data privacy

123 papers

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Co-occurring keywords · papers mentioning both

machine unlearning (28) federated learning (23) large language model (21) differential privacy (9) unlearnable example (8) distributed learning (8) privacy attack (8) membership inference (7) privacy preservation (7) privacy-preserving machine learning (7)

Papers

ContextLens: Modeling Imperfect Privacy and Safety Context for Legal Compliance ACL 2026 FedSDR: Federated Graph Learning with Structural Noise Detection and Reconstruction CVPR 2026 GDFA: Geometry-Driven Federated Unlearning with Directional Task Vector Alignment CVPR 2026 Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations CVPR 2026 InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training CVPR 2026 Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models AAAI 2026 PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection ACL 2026 SIDE: Surrogate Conditional Data Extraction from Diffusion Models AAAI 2026 Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning AAAI 2026 Towards Provably Unlearnable Examples via Bayes Error Optimization AAAI 2026 TUNE: A Task For Turkish Machine Unlearning For Data Privacy EACL 2026 Automated Detection of Pre-training Text in Black-box LLMs IJCAI 2025 CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion ICLR 2025 DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models AAAI 2025 FedBaF: Federated Learning Aggregation Biased by a Foundation Model AISTATS 2025 Federated Low-Rank Adaptation for Foundation Models: A Survey IJCAI 2025 Fine-Grained and Efficient Self-Unlearning with Layered Iteration IJCAI 2025 How Far Are We from True Unlearnability? ICLR 2025 How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning ICLR 2025 Identifying Unlearned Data in LLMs via Membership Inference Attacks EMNLP 2025 Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design ICCV 2025 ISACL: Internal State Analyzer for Copyrighted Training Data Leakage EMNLP 2025 JU-CSE-NLP’25 at SemEval-2025 Task 4: Learning to Unlearn LLMs SemEval 2025 Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval AAAI 2025 LMEraser: Large Model Unlearning via Adaptive Prompt Tuning AISTATS 2025