| A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection | Jul 23, 2019 | BIG-bench Machine LearningFederated Learning | CodeCode Available | 0 |
| ER-AE: Differentially Private Text Generation for Authorship Anonymization | Jul 20, 2019 | Privacy PreservingText Generation | CodeCode Available | 0 |
| Proof-of-Useful-Work as Dual-Purpose Mechanism for Blockchain and AI: Blockchain Consensus that Enables Privacy Preserving Data Mining | Jul 20, 2019 | Privacy Preserving | —Unverified | 0 |
| Federated Reinforcement Distillation with Proxy Experience Memory | Jul 15, 2019 | Privacy Preservingreinforcement-learning | —Unverified | 0 |
| Privacy-Preserving Classification with Secret Vector Machines | Jul 8, 2019 | ClassificationFederated Learning | CodeCode Available | 0 |
| Protecting Privacy of Users in Brain-Computer Interface Applications | Jul 2, 2019 | Brain Computer InterfaceEEG | —Unverified | 0 |
| DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM | Jun 28, 2019 | Privacy PreservingStochastic Optimization | CodeCode Available | 0 |
| Secure Summation via Subset Sums: A New Primitive for Privacy-Preserving Distributed Machine Learning | Jun 27, 2019 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 |
| Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices | Jun 26, 2019 | Edge-computingFederated Learning | —Unverified | 0 |
| Secure Multi-party Computation for Cloud-based Control | Jun 23, 2019 | Privacy Preserving | —Unverified | 0 |
