differential privacy

Investigating User Perspectives on Differentially Private Text Privatization NAACL 2025 Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition AISTATS 2025 It’s My Data Too: Private ML for Datasets with Multi-User Training Examples ICML 2025 Learning from End User Data with Shuffled Differential Privacy over Kernel Densities ICLR 2025 Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees EMNLP 2025 Locally Private Causal Inference for Randomized Experiments JMLR 2025 Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes COLT 2025 Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity JMLR 2025 Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion AAAI 2025 Model-based Large Language Model Customization as Service EMNLP 2025 Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning ICLR 2025 Named Entity Inference Attacks on Clinical LLMs: Exploring Privacy Risks and the Impact of Mitigation Strategies NAACL 2025 NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human EMNLP 2025 Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models WACV 2025 Near-Exact Privacy Amplification for Matrix Mechanisms ICLR 2025 Nearly Optimal Differentially Private ReLU Regression UAI 2025 Noise-Aware Differentially Private Variational Inference AISTATS 2025 On Consistent Bayesian Inference from Synthetic Data JMLR 2025 On Differential Privacy for Adaptively Solving Search Problems via Sketching ICML 2025 On Probabilistic Truncation in Privacy-preserving Machine Learning AAAI 2025 On the Impact of Noise in Differentially Private Text Rewriting NAACL 2025 On the Inherent Privacy of Zeroth-Order Projected Gradient Descent AISTATS 2025 On the Price of Differential Privacy for Hierarchical Clustering ICLR 2025 On the Privacy-preserving Generalized Eigenvalue Problem ACML 2025 On the Vulnerability of Text Sanitization NAACL 2025