Privacy

Compression with Exact Error Distribution for Federated Learning AISTATS 2024 Computing epidemic metrics with edge differential privacy AISTATS 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Confidence Is All You Need for MI Attacks (Student Abstract) AAAI 2024 Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration ACL 2024 Consent in Crisis: The Rapid Decline of the AI Data Commons NeurIPS 2024 ContextCite: Attributing Model Generation to Context NeurIPS 2024 Continual Counting with Gradual Privacy Expiration NeurIPS 2024 Continual Forgetting for Pre-trained Vision Models CVPR 2024 Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging NeurIPS 2024 CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation EMNLP 2024 Copycats: the many lives of a publicly available medical imaging dataset NeurIPS 2024 Countering Personalized Text-to-Image Generation with Influence Watermarks CVPR 2024 CPR: Retrieval Augmented Generation for Copyright Protection CVPR 2024 Credit Attribution and Stable Compression NeurIPS 2024 CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence NeurIPS 2024 Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NeurIPS 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 Data Anonymization for Privacy-Preserving Large Language Model Fine-Tuning on Call Transcripts EACL 2024 Data Attribution for Text-to-Image Models by Unlearning Synthesized Images NeurIPS 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models AAAI 2024 Data-Envelopes for Cultural Heritage: Going beyond Datasheets COLING 2024 Data-Free Hard-Label Robustness Stealing Attack AAAI 2024 Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NeurIPS 2024