Privacy

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 What do row and column marginals reveal about your dataset? 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 Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012 Differentially Private Empirical Risk Minimization JMLR 2011 Differentially Private M-Estimators NeurIPS 2011 Sample Complexity Bounds for Differentially Private Learning COLT 2011 Privacy-preserving logistic regression NeurIPS 2008 Compressed Regression NeurIPS 2007 Privacy-Preserving Belief Propagation and Sampling NeurIPS 2007 Efficient Methods for Privacy Preserving Face Detection NeurIPS 2006