differential privacy

Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies JMLR 2025 Differentially Private Continual Release of Histograms and Related Queries AISTATS 2025 Differentially Private Federated k-Means Clustering with Server-Side Data ICML 2025 Differentially Private Federated Learning with Time-Adaptive Privacy Spending ICLR 2025 Differentially Private Fine-Tuning of Diffusion Models ICCV 2025 Differentially Private Graph Data Release: Inefficiencies & Unfairness AISTATS 2025 Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition WACV 2025 Differentially private learners for heterogeneous treatment effects ICLR 2025 Differentially Private Learning Needs Better Model Initialization and Self-Distillation NAACL 2025 Differentially Private Multi-Sampling from Distributions ALT 2025 Differentially Private Multivariate Medians JMLR 2025 Differentially private optimization for non-decomposable objective functions ICLR 2025 Differentially Private Prototypes for Imbalanced Transfer Learning AAAI 2025 Differentially Private Range Queries with Correlated Input Perturbation AISTATS 2025 Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model ICML 2025 Differentially Private Steering for Large Language Model Alignment ICLR 2025 Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms ICML 2025 Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients AISTATS 2025 Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025 Differential Privacy Under Class Imbalance: Methods and Empirical Insights ICML 2025 Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025 DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction ICLR 2025 Does Training with Synthetic Data Truly Protect Privacy? ICLR 2025 DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings EMNLP 2025 DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters COLING 2025