Privacy

Principal Component Analysis in the Local Differential Privacy Model IJCAI 2019 Privacy Amplification by Mixing and Diffusion Mechanisms NeurIPS 2019 Privacy-aware Synthesizing for Crowdsourced Data IJCAI 2019 Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? Interspeech 2019 Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation NeurIPS 2019 Privacy Preserving Image-Based Localization CVPR 2019 Privacy Preserving Image Queries for Camera Localization ICCV 2019 Privacy-Preserving Obfuscation of Critical Infrastructure Networks IJCAI 2019 Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces NeurIPS 2019 Privacy-Preserving Siamese Feature Extraction for Gender Recognition versus Speaker Identification Interspeech 2019 Privacy-Preserving Speaker Recognition with Cohort Score Normalisation Interspeech 2019 Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction IJCAI 2019 Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring versus Speaker Identification Interspeech 2019 Private Center Points and Learning of Halfspaces COLT 2019 Private Hypothesis Selection NeurIPS 2019 Private Learning Implies Online Learning: An Efficient Reduction NeurIPS 2019 Privately Learning High-Dimensional Distributions COLT 2019 Private Model Compression via Knowledge Distillation AAAI 2019 Private Stochastic Convex Optimization with Optimal Rates NeurIPS 2019 Private Testing of Distributions via Sample Permutations NeurIPS 2019 Quality Control Attack Schemes in Crowdsourcing IJCAI 2019 Reasoning about Disclosure in Data Integration in the Presence of Source Constraints IJCAI 2019 REM: From Structural Entropy to Community Structure Deception NeurIPS 2019 Renyi Differentially Private ERM for Smooth Objectives AISTATS 2019 Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks NeurIPS 2019