| (Local) Differential Privacy has NO Disparate Impact on Fairness | Apr 25, 2023 | AttributeFairness | CodeCode Available | 0 |
| Differentially Private Synthetic Data Generation via Lipschitz-Regularised Variational Autoencoders | Apr 22, 2023 | Privacy PreservingSynthetic Data Generation | —Unverified | 0 |
| Auditing and Generating Synthetic Data with Controllable Trust Trade-offs | Apr 21, 2023 | Model SelectionPrivacy Preserving | —Unverified | 0 |
| Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks | Apr 19, 2023 | Privacy Preserving | —Unverified | 0 |
| A Randomized Approach for Tight Privacy Accounting | Apr 17, 2023 | Privacy Preserving | —Unverified | 0 |
| Practical Differentially Private and Byzantine-resilient Federated Learning | Apr 15, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Federated and distributed learning applications for electronic health records and structured medical data: A scoping review | Apr 14, 2023 | ArticlesDistributed Computing | —Unverified | 0 |
| 3DoF Localization from a Single Image and an Object Map: the Flatlandia Problem and Dataset | Apr 13, 2023 | Privacy PreservingVisual Localization | CodeCode Available | 1 |
| Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays | Apr 12, 2023 | Privacy Preserving | —Unverified | 0 |
| Privacy-Preserving Matrix Factorization for Recommendation Systems using Gaussian Mechanism | Apr 11, 2023 | Privacy PreservingRecommendation Systems | —Unverified | 0 |
