| Privacy-preserving datasets by capturing feature distributions with Conditional VAEs | Aug 1, 2024 | DiversityPrivacy Preserving | CodeCode Available | 0 | 5 |
| A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning | Sep 8, 2022 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| ER-AE: Differentially Private Text Generation for Authorship Anonymization | Jul 20, 2019 | Privacy PreservingText Generation | CodeCode Available | 0 | 5 |
| Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks | Jan 10, 2024 | Privacy Preserving | CodeCode Available | 0 | 5 |
| FedAH: Aggregated Head for Personalized Federated Learning | Dec 2, 2024 | Federated LearningPersonalized Federated Learning | CodeCode Available | 0 | 5 |
| CrowdGuard: Federated Backdoor Detection in Federated Learning | Oct 14, 2022 | Federated LearningOutlier Detection | CodeCode Available | 0 | 5 |
| Backpropagation Clipping for Deep Learning with Differential Privacy | Feb 10, 2022 | Deep LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| LFFR: Logistic Function For (single-output) Regression | Jul 13, 2024 | Privacy Preservingregression | CodeCode Available | 0 | 5 |
| Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees | May 4, 2025 | Cloud ComputingPrivacy Preserving | CodeCode Available | 0 | 5 |
| Empowering Data Mesh with Federated Learning | Mar 26, 2024 | Decision MakingFederated Learning | CodeCode Available | 0 | 5 |
