| No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices | Feb 16, 2022 | Federated LearningKnowledge Distillation | —Unverified | 0 |
| SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service | Feb 16, 2022 | Cloud ComputingGraph Neural Network | —Unverified | 0 |
| Fair Division with Money and Prices | Feb 16, 2022 | Privacy Preserving | —Unverified | 0 |
| Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey | Feb 16, 2022 | FairnessPrivacy Preserving | —Unverified | 0 |
| Privacy Preserving Visual Question Answering | Feb 15, 2022 | Privacy PreservingQuestion Answering | —Unverified | 0 |
| Do Gradient Inversion Attacks Make Federated Learning Unsafe? | Feb 14, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release | Feb 14, 2022 | Data AugmentationPrivacy Preserving | CodeCode Available | 0 |
| Privacy-preserving Generative Framework Against Membership Inference Attacks | Feb 11, 2022 | Privacy Preserving | —Unverified | 0 |
| Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation | Feb 10, 2022 | Privacy PreservingRecommendation Systems | —Unverified | 0 |
| Backpropagation Clipping for Deep Learning with Differential Privacy | Feb 10, 2022 | Deep LearningPrivacy Preserving | CodeCode Available | 0 |
