local differential privacy

Agent-based Substructure Counting under Local Differential Privacy ACL 2026 Classification Under Local Differential Privacy with Model Reversal and Model Averaging JMLR 2026 LDP-Slicing: Local Differential Privacy for Images via Randomized Bit-Plane Slicing CVPR 2026 Minimax density estimation in the adversarial framework under local differential privacy JMLR 2026 Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning CVPR 2026 Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy AAAI 2026 $δ$-STEAL: LLM Stealing Attack with Local Differential Privacy ACML 2025 A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO ICML 2025 Counting Graphlets of Size k under Local Differential Privacy AISTATS 2025 Distribution-Aware Mean Estimation under User-level Local Differential Privacy AISTATS 2025 DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference ACL 2025 Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy AISTATS 2025 Enhancing Learning with Label Differential Privacy by Vector Approximation ICLR 2025 Faster Rates for Private Adversarial Bandits ICML 2025 Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees EMNLP 2025 Locally Private Estimation with Public Features AISTATS 2025 Locally Private Sampling with Public Data AISTATS 2025 Minimax Optimal Two-Sample Testing under Local Differential Privacy JMLR 2025 Near-optimal algorithms for private estimation and sequential testing of collision probability AISTATS 2025 QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed Bandits AISTATS 2025 Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy AISTATS 2025 Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models ICML 2025 A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility AAAI 2024 Causal Discovery Under Local Privacy CLeaR 2024 Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes ACML 2024