Security & Privacy

The Price of Differential Privacy for Online Learning ICML 2017 Alpenhorn: Bootstrapping Secure Communication without Leaking Metadata OSDI 2016 Differentially Private Data Releasing for Smooth Queries JMLR 2016 Differentially Private Policy Evaluation ICML 2016 Discrete Distribution Estimation under Local Privacy ICML 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 Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization ACML 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 Privacy Preserving Optics for Miniature Vision Sensors CVPR 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 Controlling privacy in recommender systems NeurIPS 2014 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 The Large Margin Mechanism for Differentially Private Maximization NeurIPS 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014