differential privacy

Rademacher Observations, Private Data, and Boosting ICML 2015 Secure Multi-party Differential Privacy NeurIPS 2015 The Composition Theorem for Differential Privacy ICML 2015 Truthful Linear Regression COLT 2015 Dual Query: Practical Private Query Release for High Dimensional Data ICML 2014 Learning Coverage Functions and Private Release of Marginals COLT 2014 (Near) Dimension Independent Risk Bounds for Differentially Private Learning ICML 2014 Sample Complexity Bounds on Differentially Private Learning via Communication Complexity COLT 2014 The Large Margin Mechanism for Differentially Private Maximization NeurIPS 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014 A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013 A Stability-based Validation Procedure for Differentially Private Machine Learning NeurIPS 2013 Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso COLT 2013 Differentially Private Learning with Kernels ICML 2013 Differential Privacy for Functions and Functional Data JMLR 2013 Efficient Algorithm for Privately Releasing Smooth Queries NeurIPS 2013 Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NeurIPS 2013 (Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings NeurIPS 2013 Statistical Active Learning Algorithms NeurIPS 2013 A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012 A Simple and Practical Algorithm for Differentially Private Data Release NeurIPS 2012 Differentially Private Online Learning COLT 2012 Distributed Learning, Communication Complexity and Privacy COLT 2012 Near-optimal Differentially Private Principal Components NeurIPS 2012 Privacy Aware Learning NeurIPS 2012