Security & Privacy

Adaptive Anonymity via b-Matching NeurIPS 2013 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 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 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 M-Estimators NeurIPS 2011 Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers NeurIPS 2010 Probabilistic Inference and Differential Privacy NeurIPS 2010 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