| Exploring Federated Unlearning: Review, Comparison, and Insights | Oct 30, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| DeceFL: A Principled Decentralized Federated Learning Framework | Jul 15, 2021 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications | Aug 31, 2023 | Privacy Preserving | CodeCode Available | 1 | 5 |
| A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective | Nov 27, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer | Nov 27, 2023 | In-Context LearningLanguage Modeling | CodeCode Available | 1 | 5 |
| APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning | Feb 8, 2022 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service | Aug 17, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release | Nov 23, 2023 | Privacy Preserving | CodeCode Available | 1 | 5 |
| CTAB-GAN+: Enhancing Tabular Data Synthesis | Apr 1, 2022 | Privacy Preserving | CodeCode Available | 1 | 5 |
| Antipodes of Label Differential Privacy: PATE and ALIBI | Jun 7, 2021 | Bayesian InferenceMemorization | CodeCode Available | 1 | 5 |
