| Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent | Nov 8, 2019 | Privacy Preserving | CodeCode Available | 0 |
| Wasserstein Differential Privacy | Jan 23, 2024 | Privacy Preserving | CodeCode Available | 0 |
| Differentially Private Releasing via Deep Generative Model (Technical Report) | Jan 5, 2018 | Privacy Preserving | CodeCode Available | 0 |
| Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling | Nov 28, 2021 | Privacy Preserving | CodeCode Available | 0 |
| MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image | Mar 17, 2023 | Contrastive LearningPrivacy Preserving | CodeCode Available | 0 |
| Can Large Language Models Really Recognize Your Name? | May 20, 2025 | Privacy Preserving | CodeCode Available | 0 |
| Source-Free Domain Adaptation via Distribution Estimation | Apr 24, 2022 | Domain AdaptationPrivacy Preserving | CodeCode Available | 0 |
| MC-GEN:Multi-level Clustering for Private Synthetic Data Generation | May 28, 2022 | BIG-bench Machine LearningClustering | CodeCode Available | 0 |
| Federated Frank-Wolfe Algorithm | Aug 19, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Differentially Private Random Feature Model | Dec 6, 2024 | Fairnessmodel | CodeCode Available | 0 |
