Privacy

Minimax Filter: Learning to Preserve Privacy from Inference Attacks JMLR 2017 SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud NeurIPS 2017 Alpenhorn: Bootstrapping Secure Communication without Leaking Metadata OSDI 2016 Differentially Private Policy Evaluation ICML 2016 Discrete Distribution Estimation under Local Privacy ICML 2016 Privacy Odometers and Filters: Pay-as-you-Go Composition NeurIPS 2016 Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization ACML 2016 Privacy Preserving Optics for Miniature Vision Sensors CVPR 2015 Secure Multi-party Differential Privacy NeurIPS 2015 Controlling privacy in recommender systems NeurIPS 2014 Extremal Mechanisms for Local Differential Privacy NeurIPS 2014 Adaptive Anonymity via b-Matching NeurIPS 2013 Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NeurIPS 2013 Privacy Aware Learning NeurIPS 2012 Compressed Regression NeurIPS 2007 Privacy-Preserving Belief Propagation and Sampling NeurIPS 2007 Efficient Methods for Privacy Preserving Face Detection NeurIPS 2006