Privacy

New Oracle-Efficient Algorithms for Private Synthetic Data Release ICML 2020 Obfuscation for Privacy-preserving Syntactic Parsing ACL 2020 On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data ICML 2020 Online Data Poisoning Attacks L4DC 2020 On Log-Loss Scores and (No) Privacy EMNLP 2020 Optimal Differential Privacy Composition for Exponential Mechanisms ICML 2020 Optimal Private Median Estimation under Minimal Distributional Assumptions NeurIPS 2020 Optimal Query Complexity of Secure Stochastic Convex Optimization NeurIPS 2020 Optimal Strategies Against Generative Attacks ICLR 2020 OptStream: Releasing Time Series Privately (Extended Abstract) IJCAI 2020 Oracle Efficient Private Non-Convex Optimization ICML 2020 Orchard: Differentially Private Analytics at Scale OSDI 2020 Overlearning Reveals Sensitive Attributes ICLR 2020 PAC learning with stable and private predictions COLT 2020 Pairwise Learning with Differential Privacy Guarantees AAAI 2020 Pan-Private Uniformity Testing COLT 2020 Passport-aware Normalization for Deep Model Protection NeurIPS 2020 Permute-and-Flip: A new mechanism for differentially private selection NeurIPS 2020 Personal Information Leakage Detection in Conversations EMNLP 2020 Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020 Practical Locally Private Heavy Hitters JMLR 2020 Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks ICLR 2020 Privacy Amplification via Random Check-Ins NeurIPS 2020 Privacy Enhanced Multimodal Neural Representations for Emotion Recognition AAAI 2020 Privacy Guarantees for De-Identifying Text Transformations Interspeech 2020