differential privacy

Differentially Private Database Release via Kernel Mean Embeddings ICML 2018 Differentially Private Identity and Equivalence Testing of Discrete Distributions ICML 2018 Differentially Private k-Means with Constant Multiplicative Error NeurIPS 2018 Differentially Private Matrix Completion Revisited ICML 2018 Differentially Private Regression with Gaussian Processes AISTATS 2018 Differentially Private Robust Low-Rank Approximation NeurIPS 2018 Differentially Private Testing of Identity and Closeness of Discrete Distributions NeurIPS 2018 Differentially Private Uniformly Most Powerful Tests for Binomial Data NeurIPS 2018 Differential Privacy for Growing Databases NeurIPS 2018 Distributed Fine-tuning of Language Models on Private Data ICLR 2018 Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NeurIPS 2018 Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors ICML 2018 Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising ICML 2018 Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms ICML 2018 INSPECTRE: Privately Estimating the Unseen ICML 2018 Karaoke: Distributed Private Messaging Immune to Passive Traffic Analysis OSDI 2018 Learners that Use Little Information ALT 2018 Learning Differentially Private Recurrent Language Models ICLR 2018 Learning Optimal Reserve Price against Non-myopic Bidders NeurIPS 2018 Locally Private Hypothesis Testing ICML 2018 Local Private Hypothesis Testing: Chi-Square Tests ICML 2018 Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems AISTATS 2018 Mitigating Bias in Adaptive Data Gathering via Differential Privacy ICML 2018 Model-Agnostic Private Learning NeurIPS 2018 Personalized and Private Peer-to-Peer Machine Learning AISTATS 2018