Differential Privacy

On Differentially Private Subspace Estimation in a Distribution-Free Setting NeurIPS 2024 On Differentially Private U Statistics NeurIPS 2024 One-shot Empirical Privacy Estimation for Federated Learning ICLR 2024 Online Distribution Learning with Local Privacy Constraints AISTATS 2024 Online Sensitivity Optimization in Differentially Private Learning AAAI 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024 On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift NeurIPS 2024 On the Computational Complexity of Private High-dimensional Model Selection NeurIPS 2024 On the sample complexity of privately learning half-spaces ACML 2024 Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives NeurIPS 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024 Pre-training Differentially Private Models with Limited Public Data NeurIPS 2024 Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy NeurIPS 2024 PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024 Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024 Privacy-Aware Randomized Quantization via Linear Programming UAI 2024 Privacy-Enhancing Person Re-Identification Framework - A Dual-Stage Approach WACV 2024 Private and Personalized Frequency Estimation in a Federated Setting NeurIPS 2024 Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust NeurIPS 2024 Private Geometric Median NeurIPS 2024 Private Language Models via Truncated Laplacian Mechanism EMNLP 2024 Private prediction for large-scale synthetic text generation EMNLP 2024 Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NeurIPS 2024 Private Zeroth-Order Nonsmooth Nonconvex Optimization ICLR 2024