Privacy

Differentially Private Optimal Transport: Application to Domain Adaptation IJCAI 2019 Differential Privacy Has Disparate Impact on Model Accuracy NeurIPS 2019 Distributed Collaborative Feature Selection Based on Intermediate Representation IJCAI 2019 Dynamically Identifying Deep Multimodal Features for Image Privacy Prediction AAAI 2019 Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy NeurIPS 2019 Elliptical Perturbations for Differential Privacy NeurIPS 2019 Extracting Mel-Frequency and Bark-Frequency Cepstral Coefficients from Encrypted Signals Interspeech 2019 Facility Location Problem in Differential Privacy Model Revisited NeurIPS 2019 FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data IJCAI 2019 Formal Privacy for Functional Data with Gaussian Perturbations ICML 2019 GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination AAAI 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 Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019 Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 2019 How to Build User Simulators to Train RL-based Dialog Systems EMNLP 2019 KNG: The K-Norm Gradient Mechanism NeurIPS 2019 Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019 Knowledge Extraction with No Observable Data NeurIPS 2019 Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy AISTATS 2019 Limits of Private Learning with Access to Public Data NeurIPS 2019 Linear Queries Estimation with Local Differential Privacy AISTATS 2019 Live Face De-Identification in Video ICCV 2019 Locally Private Bayesian Inference for Count Models ICML 2019 Locally Private Gaussian Estimation NeurIPS 2019