differential privacy

Learning Rate Adaptation for Differentially Private Learning AISTATS 2020 (Locally) Differentially Private Combinatorial Semi-Bandits ICML 2020 Locally Differentially Private (Contextual) Bandits Learning NeurIPS 2020 Locally Private Hypothesis Selection COLT 2020 Multimodal Review Generation with Privacy and Fairness Awareness COLING 2020 New Oracle-Efficient Algorithms for Private Synthetic Data Release ICML 2020 On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data ICML 2020 On the Equivalence between Online and Private Learnability beyond Binary Classification NeurIPS 2020 Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions NeurIPS 2020 Optimal Differential Privacy Composition for Exponential Mechanisms ICML 2020 Optimal Private Median Estimation under Minimal Distributional Assumptions NeurIPS 2020 OptStream: Releasing Time Series Privately (Extended Abstract) IJCAI 2020 Oracle Efficient Private Non-Convex Optimization ICML 2020 Orchard: Differentially Private Analytics at Scale OSDI 2020 PAC learning with stable and private predictions COLT 2020 Pairwise Learning with Differential Privacy Guarantees AAAI 2020 Pan-Private Uniformity Testing COLT 2020 Permute-and-Flip: A new mechanism for differentially private selection NeurIPS 2020 Practical Locally Private Heavy Hitters JMLR 2020 Privacy Amplification via Random Check-Ins NeurIPS 2020 Privacy Guarantees for De-Identifying Text Transformations Interspeech 2020 Privacy-Preserving Gradient Boosting Decision Trees AAAI 2020 Privacy-Preserving News Recommendation Model Learning EMNLP 2020 Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead ICML 2020 Private Identity Testing for High-Dimensional Distributions NeurIPS 2020