privacy-utility trade-off

An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses AAAI 2026 Differentially Private Best-Arm Identification JMLR 2026 Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning ACL 2026 PrivSynth: Alternating and Control-Based Optimization for Privacy and Utility in Synthetic Data CVPR 2026 Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy ICML 2025 CluSanT: Differentially Private and Semantically Coherent Text Sanitization NAACL 2025 Data Reconstruction Attacks and Defenses: A Systematic Evaluation AISTATS 2025 Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies JMLR 2025 Differentially Private Federated Learning with Time-Adaptive Privacy Spending ICLR 2025 Differentially Private Prototypes for Imbalanced Transfer Learning AAAI 2025 DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction ICLR 2025 DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting EMNLP 2025 Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation WACV 2025 General Staircase Mechanisms for Optimal Differential Privacy AISTATS 2025 Minimax Optimal Two-Sample Testing under Local Differential Privacy JMLR 2025 Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning AAAI 2025 TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods NAACL 2025 Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization EMNLP 2025 Towards Trustworthy Federated Learning with Untrusted Participants ICML 2025 TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility AISTATS 2025 Unlearning LLM-Based Speech Recognition Models Interspeech 2025 With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting IJCNLP 2025 A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking the Privacy-Utility Trade-off COLING 2024 A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024 Approximate Kernel Density Estimation under Metric-based Local Differential Privacy UAI 2024