differential privacy

Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences NeurIPS 2018 Privacy-preserving Prediction COLT 2018 Private Sequential Learning COLT 2018 Query Complexity of Bayesian Private Learning NeurIPS 2018 Scalable Private Learning with PATE ICLR 2018 Smooth Sensitivity Based Approach for Differentially Private PCA ALT 2018 The Price of Privacy for Low-rank Factorization NeurIPS 2018 Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM NeurIPS 2017 A New Class of Private Chi-Square Hypothesis Tests AISTATS 2017 Differentially private Bayesian learning on distributed data NeurIPS 2017 Differentially Private Chi-squared Test by Unit Circle Mechanism ICML 2017 Differentially Private Clustering in High-Dimensional Euclidean Spaces ICML 2017 Differentially Private Empirical Risk Minimization Revisited: Faster and More General NeurIPS 2017 Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models ICML 2017 Differentially Private Ordinary Least Squares ICML 2017 Differentially Private Submodular Maximization: Data Summarization in Disguise ICML 2017 Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017 DP-EM: Differentially Private Expectation Maximization AISTATS 2017 Efficient Private ERM for Smooth Objectives IJCAI 2017 Generalization for Adaptively-chosen Estimators via Stable Median COLT 2017 Minimax Filter: Learning to Preserve Privacy from Inference Attacks JMLR 2017 Practical Locally Private Heavy Hitters NeurIPS 2017 Priv’IT: Private and Sample Efficient Identity Testing ICML 2017 The Price of Differential Privacy for Online Learning ICML 2017 The Price of Selection in Differential Privacy COLT 2017