| A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service | Mar 30, 2020 | Deep LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| A2XP: Towards Private Domain Generalization | Nov 17, 2023 | Domain GeneralizationPrivacy Preserving | CodeCode Available | 1 | 5 |
| DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation | Mar 20, 2021 | Dimensionality ReductionNavigate | CodeCode Available | 1 | 5 |
| Data Valuation and Detections in Federated Learning | Nov 9, 2023 | Data ValuationFederated Learning | CodeCode Available | 1 | 5 |
| CTAB-GAN+: Enhancing Tabular Data Synthesis | Apr 1, 2022 | Privacy 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 |
| Adversarially-Guided Portrait Matting | May 4, 2023 | Image MattingPrivacy Preserving | 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 |
| Differentially Private Optimization on Large Model at Small Cost | Sep 30, 2022 | Privacy Preserving | CodeCode Available | 1 | 5 |
| Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining | Dec 13, 2022 | PositionPrivacy Preserving | CodeCode Available | 1 | 5 |
