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Privacy

2794 directly classified papers

Papers per year

Papers

Generalization in Adaptive Data Analysis and Holdout Reuse NIPS 2015
Learning from Data with Heterogeneous Noise using SGD AISTATS 2015
Privacy Preserving Optics for Miniature Vision Sensors CVPR 2015
Private Graphon Estimation for Sparse Graphs NIPS 2015
Rademacher Observations, Private Data, and Boosting ICML 2015
Differentially Private Bayesian Optimization ICML 2015
The Security of Latent Dirichlet Allocation AISTATS 2015
Differentially private subspace clustering NIPS 2015
The Composition Theorem for Differential Privacy ICML 2015
Nearly Optimal Private LASSO NIPS 2015
Protecting Against Screenshots: An Image Processing Approach CVPR 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo ICML 2015
Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015
Truthful Linear Regression COLT 2015
Extremal Mechanisms for Local Differential Privacy NIPS 2014
Dual Query: Practical Private Query Release for High Dimensional Data ICML 2014
(Almost) No Label No Cry NIPS 2014
Controlling privacy in recommender systems NIPS 2014
(Near) Dimension Independent Risk Bounds for Differentially Private Learning ICML 2014
The Large Margin Mechanism for Differentially Private Maximization NIPS 2014
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity COLT 2014
A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NIPS 2013
Differentially Private Learning with Kernels ICML 2013
A Stability-based Validation Procedure for Differentially Private Machine Learning NIPS 2013