Privacy

Differentially Private Ordinary Least Squares ICML 2017 Differentially Private Submodular Maximization: Data Summarization in Disguise ICML 2017 Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017 DP-EM: Differentially Private Expectation Maximization AISTATS 2017 Efficient Label Contamination Attacks Against Black-Box Learning Models IJCAI 2017 Efficient Private ERM for Smooth Objectives IJCAI 2017 Encrypted Accelerated Least Squares Regression AISTATS 2017 Enhancing Security and Privacy of Tor's Ecosystem by Using Trusted Execution Environments NSDI 2017 Identifying the Provision of Choices in Privacy Policy Text EMNLP 2017 Minimax Filter: Learning to Preserve Privacy from Inference Attacks JMLR 2017 Misperceptions of the Emotional Content of Natural and Vocoded Speech in a Car Interspeech 2017 Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction EMNLP 2017 On the Effectiveness of Visible Watermarks CVPR 2017 Pain-Free Random Differential Privacy with Sensitivity Sampling ICML 2017 Practical Locally Private Heavy Hitters NeurIPS 2017 Prio: Private, Robust, and Scalable Computation of Aggregate Statistics NSDI 2017 Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training IJCAI 2017 Priv’IT: Private and Sample Efficient Identity Testing ICML 2017 Recycling Privileged Learning and Distribution Matching for Fairness NeurIPS 2017 Renyi Differential Privacy Mechanisms for Posterior Sampling NeurIPS 2017 SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud NeurIPS 2017 Splinter: Practical Private Queries on Public Data NSDI 2017 The ModelTalker Project: A Web-Based Voice Banking Pipeline for ALS/MND Patients Interspeech 2017 The Price of Differential Privacy for Online Learning ICML 2017 The Price of Selection in Differential Privacy COLT 2017