Differential Privacy

Privately Learning Decision Lists and a Differentially Private Winnow ALT 2026 PrvTel: Lightweight Models for Private and Accurate Telemetry Data Retention NSDI 2026 Ripple Mechanisms for Discrete and Private Statistics COLT 2026 Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration UAI 2026 Adaptive Batch Size for Privately Finding Second-Order Stationary Points ICLR 2025 Almost linear time differentially private release of synthetic graphs AISTATS 2025 Attribute Inference Attacks for Federated Regression Tasks AAAI 2025 Balls-and-Bins Sampling for DP-SGD AISTATS 2025 Best Linear Unbiased Estimate from Privatized Contingency Tables JMLR 2025 BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities AAAI 2025 Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization AISTATS 2025 Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness ICLR 2025 Counting Graphlets of Size k under Local Differential Privacy AISTATS 2025 Differentially private algorithms for linear queries via stochastic convex optimization AISTATS 2025 Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies JMLR 2025 Differentially Private Continual Release of Histograms and Related Queries AISTATS 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 Multivariate Medians JMLR 2025 Differentially Private Prototypes for Imbalanced Transfer Learning AAAI 2025 Differentially Private Range Queries with Correlated Input Perturbation AISTATS 2025 Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients AISTATS 2025 Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025 Distribution-Aware Mean Estimation under User-level Local Differential Privacy AISTATS 2025