Privacy

Differentially Private Learning of Structured Discrete Distributions NeurIPS 2015 Differentially private subspace clustering NeurIPS 2015 Generalization in Adaptive Data Analysis and Holdout Reuse NeurIPS 2015 Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery COLT 2015 Learning from Data with Heterogeneous Noise using SGD AISTATS 2015 Nearly Optimal Private LASSO NeurIPS 2015 Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 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 Protecting Against Screenshots: An Image Processing Approach CVPR 2015 Rademacher Observations, Private Data, and Boosting ICML 2015 Secure Multi-party Differential Privacy NeurIPS 2015 The Composition Theorem for Differential Privacy ICML 2015 The Security of Latent Dirichlet Allocation AISTATS 2015 Truthful Linear Regression COLT 2015 (Almost) No Label No Cry NeurIPS 2014 Controlling privacy in recommender systems NeurIPS 2014 Dual Query: Practical Private Query Release for High Dimensional Data ICML 2014 Extremal Mechanisms for Local Differential Privacy NeurIPS 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 Adaptive Anonymity via b-Matching NeurIPS 2013 A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013