Differential Privacy

Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017 Collecting Telemetry Data Privately NeurIPS 2017 Differentially Private Chi-squared Test by Unit Circle Mechanism ICML 2017 Differentially Private Empirical Risk Minimization Revisited: Faster and More General NeurIPS 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 Efficient Private ERM for Smooth Objectives IJCAI 2017 The Price of Differential Privacy for Online Learning ICML 2017 Differentially Private Data Releasing for Smooth Queries JMLR 2016 Efficient Private Empirical Risk Minimization for High-dimensional Learning ICML 2016 Privacy Odometers and Filters: Pay-as-you-Go Composition NeurIPS 2016 Private Causal Inference AISTATS 2016 Differentially Private Bayesian Optimization ICML 2015 Differentially Private Learning of Structured Discrete Distributions NeurIPS 2015 Differentially private subspace clustering NeurIPS 2015 Nearly Optimal Private LASSO NeurIPS 2015 Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo ICML 2015 Private Graphon Estimation for Sparse Graphs NeurIPS 2015 Rademacher Observations, Private Data, and Boosting ICML 2015 Secure Multi-party Differential Privacy NeurIPS 2015 Truthful Linear Regression COLT 2015 Extremal Mechanisms for Local Differential Privacy NeurIPS 2014 Learning Coverage Functions and Private Release of Marginals COLT 2014 Sample Complexity Bounds on Differentially Private Learning via Communication Complexity COLT 2014