| Exploring Federated Unlearning: Review, Comparison, and Insights | Oct 30, 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 |
| EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing | Jun 2, 2024 | De-identificationPrivacy Preserving | CodeCode Available | 1 | 5 |
| ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing | Jun 8, 2020 | CPUFederated Learning | CodeCode Available | 1 | 5 |
| Domain-Invariant Representation Learning from EEG with Private Encoders | Jan 27, 2022 | EEGElectroencephalogram (EEG) | CodeCode Available | 1 | 5 |
| Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks | Mar 13, 2025 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity | May 26, 2024 | DiversityFairness | CodeCode Available | 1 | 5 |
| Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models | Oct 23, 2023 | De-identificationDenoising | CodeCode Available | 1 | 5 |
| An Efficient Approach for Cross-Silo Federated Learning to Rank | Jun 21, 2021 | Federated LearningLearning-To-Rank | CodeCode Available | 1 | 5 |
| A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures | Mar 31, 2024 | Privacy PreservingSurvey | CodeCode Available | 1 | 5 |
