Privacy

Scalable Private Learning with PATE ICLR 2018 SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud ACML 2018 A Group-Based Personalized Model for Image Privacy Classification and Labeling IJCAI 2017 Generalization for Adaptively-chosen Estimators via Stable Median COLT 2017 An Egocentric Look at Video Photographer Identity CVPR 2016 Online and Differentially-Private Tensor Decomposition NeurIPS 2016 Private Causal Inference AISTATS 2016 Ryoan: A Distributed Sandbox for Untrusted Computation on Secret Data OSDI 2016 A Market Framework for Eliciting Private Data NeurIPS 2015 Private Graphon Estimation for Sparse Graphs NeurIPS 2015 (Almost) No Label No Cry NeurIPS 2014 Controlling privacy in recommender systems NeurIPS 2014 The Large Margin Mechanism for Differentially Private Maximization NeurIPS 2014 Adaptive Anonymity via b-Matching NeurIPS 2013 Privacy Aware Learning NeurIPS 2012 Differentially Private M-Estimators NeurIPS 2011 Sample Complexity Bounds for Differentially Private Learning COLT 2011