Differential Privacy

On the Privacy-preserving Generalized Eigenvalue Problem ACML 2025 Optimality of Matrix Mechanism on ℓ_p^p-metric ICLR 2025 PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025 Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning AAAI 2025 Privately Counting Partially Ordered Data ICLR 2025 Private Mechanism Design via Quantile Estimation ICLR 2025 Public Data Assisted Differentially Private In-Context Learning EMNLP 2025 Robust Utility-Preserving Text Anonymization Based on Large Language Models ACL 2025 SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework IJCAI 2025 Scaling up the Banded Matrix Factorization Mechanism for Large Scale Differentially Private ML ICLR 2025 Signal Recovery from Random Dot-Product Graphs under Local Differential Privacy AISTATS 2025 Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions ICLR 2025 Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency ICLR 2025 Trading Off Voting Axioms for Privacy UAI 2025 With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting IJCNLP 2025 A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy ACL 2024 A Differentially Private Clustering Algorithm for Well-Clustered Graphs ICLR 2024 A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility AAAI 2024 A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024 All Rivers Run to the Sea: Private Learning with Asymmetric Flows CVPR 2024 Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024 Approximate Kernel Density Estimation under Metric-based Local Differential Privacy UAI 2024 A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities AAAI 2024 A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy AAAI 2024 Auditing Privacy Mechanisms via Label Inference Attacks NeurIPS 2024