| Differentially Private Optimization on Large Model at Small Cost | Sep 30, 2022 | Privacy Preserving | CodeCode Available | 1 | 5 |
| A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection | Feb 7, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| A Comprehensive Survey of Synthetic Tabular Data Generation | Apr 23, 2025 | Privacy PreservingSurvey | CodeCode Available | 1 | 5 |
| DCT-CryptoNets: Scaling Private Inference in the Frequency Domain | Aug 27, 2024 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service | Mar 30, 2020 | Deep LearningPrivacy Preserving | CodeCode Available | 1 | 5 |
| Data Valuation and Detections in Federated Learning | Nov 9, 2023 | Data ValuationFederated Learning | 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 |
| 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 |
