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Privacy

2,847 papers

Papers per year

18
172
532
'15
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'25

Papers

Adaptive Anonymity via $b$-Matching NIPS 2013
What do row and column marginals reveal about your dataset? NIPS 2013
(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings NIPS 2013
A Stability-based Validation Procedure for Differentially Private Machine Learning NIPS 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
A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013
Privacy Aware Learning NIPS 2012
A Simple and Practical Algorithm for Differentially Private Data Release NIPS 2012
Near-optimal Differentially Private Principal Components NIPS 2012
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012
Differentially Private Online Learning COLT 2012
Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012
Distributed Learning, Communication Complexity and Privacy COLT 2012
Differentially Private M-Estimators NIPS 2011
Sample Complexity Bounds for Differentially Private Learning COLT 2011
Differentially Private Empirical Risk Minimization JMLR 2011
Privacy-preserving logistic regression NIPS 2008
Compressed Regression NIPS 2007
Privacy-Preserving Belief Propagation and Sampling NIPS 2007
Efficient Methods for Privacy Preserving Face Detection NIPS 2006