differential privacy

Near-Optimal Differentially Private Reinforcement Learning AISTATS 2023 Neural Graph Generation from Graph Statistics NeurIPS 2023 Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023 Offline Reinforcement Learning with Differential Privacy NeurIPS 2023 On Differentially Private Sampling from Gaussian and Product Distributions NeurIPS 2023 One-Shot Federated Conformal Prediction ICML 2023 Online Local Differential Private Quantile Inference via Self-normalization ICML 2023 On Private and Robust Bandits NeurIPS 2023 On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence NeurIPS 2023 On the Fairness Impacts of Private Ensembles Models IJCAI 2023 On the Gini-impurity Preservation For Privacy Random Forests NeurIPS 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023 On User-Level Private Convex Optimization ICML 2023 Optimal and Private Learning from Human Response Data AISTATS 2023 Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning NeurIPS 2023 PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023 Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ICML 2023 Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release NeurIPS 2023 Post-processing Private Synthetic Data for Improving Utility on Selected Measures NeurIPS 2023 PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023 Practical Differentially Private Hyperparameter Tuning with Subsampling NeurIPS 2023 Principled Approaches for Private Adaptation from a Public Source AISTATS 2023 Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation NeurIPS 2023 Privacy Auditing with One (1) Training Run NeurIPS 2023 Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023