differential privacy

Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy NeurIPS 2019 Elliptical Perturbations for Differential Privacy NeurIPS 2019 Facility Location Problem in Differential Privacy Model Revisited NeurIPS 2019 Formal Privacy for Functional Data with Gaussian Perturbations ICML 2019 Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection NeurIPS 2019 Graphical-model based estimation and inference for differential privacy ICML 2019 Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 2019 KNG: The K-Norm Gradient Mechanism NeurIPS 2019 Learning Auctions with Robust Incentive Guarantees NeurIPS 2019 Limits of Private Learning with Access to Public Data NeurIPS 2019 Linear Queries Estimation with Local Differential Privacy AISTATS 2019 Locally Private Gaussian Estimation NeurIPS 2019 Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NeurIPS 2019 MixMatch: A Holistic Approach to Semi-Supervised Learning NeurIPS 2019 Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations ALT 2019 Oblivious Sampling Algorithms for Private Data Analysis NeurIPS 2019 Old Techniques in Differentially Private Linear Regression ALT 2019 On Connecting Stochastic Gradient MCMC and Differential Privacy AISTATS 2019 On Differentially Private Graph Sparsification and Applications NeurIPS 2019 Online Learning via the Differential Privacy Lens NeurIPS 2019 On Privacy Protection of Latent Dirichlet Allocation Model Training IJCAI 2019 Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning? COLT 2019 Optimal Noise-Adding Mechanism in Additive Differential Privacy AISTATS 2019 P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification CVPR 2019 PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees ICLR 2019