data privacy

LUME: LLM Unlearning with Multitask Evaluations EMNLP 2025 Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis AAAI 2025 Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints AAAI 2025 NLPART at SemEval-2025 Task 4: Forgetting is harder than Learning SemEval 2025 One-shot Federated Learning Methods: A Practical Guide IJCAI 2025 Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models ACL 2025 Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025 Split Adaptation for Pre-trained Vision Transformers CVPR 2025 Towards Source-Free Machine Unlearning CVPR 2025 Towards Trustworthy Machine Learning Under Distribution Shifts AAAI 2025 Uncovering Latent Memories in Large Language Models ICLR 2025 Ward: Provable RAG Dataset Inference via LLM Watermarks ICLR 2025 A Legal Framework for Natural Language Model Training in Portugal COLING 2024 Analysis of Pathological Speech – Pitfalls along the Way Interspeech 2024 Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024 DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure ACML 2024 Data Ownership and Privacy in Personalized AI Models in Assistive Healthcare IJCAI 2024 Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024 Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously NeurIPS 2024 Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024 FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning AAAI 2024 Federated Causal Discovery from Heterogeneous Data ICLR 2024 FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation NeurIPS 2024 FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection NeurIPS 2024 Finding ε and δ of Traditional Disclosure Control Systems AAAI 2024