| Linear Model Against Malicious Adversaries with Local Differential Privacy | Feb 5, 2022 | Privacy Preserving | —Unverified | 0 |
| Training Differentially Private Models with Secure Multiparty Computation | Feb 5, 2022 | Privacy Preserving | —Unverified | 0 |
| PrivPAS: A real time Privacy-Preserving AI System and applied ethics | Feb 5, 2022 | EthicsPrivacy Preserving | —Unverified | 0 |
| Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data | Feb 5, 2022 | Privacy Preservingregression | —Unverified | 0 |
| Comparative assessment of federated and centralized machine learning | Feb 3, 2022 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Privacy-Aware Crowd Labelling for Machine Learning Tasks | Feb 3, 2022 | BIG-bench Machine LearningDiversity | —Unverified | 0 |
| Improved Regret for Differentially Private Exploration in Linear MDP | Feb 2, 2022 | Decision MakingPrivacy Preserving | —Unverified | 0 |
| A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images | Feb 1, 2022 | Content-Based Image RetrievalImage Retrieval | —Unverified | 0 |
| Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs | Feb 1, 2022 | Graph LearningPrivacy Preserving | —Unverified | 0 |
| Lessons from the AdKDD'21 Privacy-Preserving ML Challenge | Jan 31, 2022 | Privacy Preserving | —Unverified | 0 |
