| Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization | Dec 1, 2018 | Privacy Preserving | CodeCode Available | 0 | 5 |
| (Local) Differential Privacy has NO Disparate Impact on Fairness | Apr 25, 2023 | AttributeFairness | CodeCode Available | 0 | 5 |
| Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix | Jul 14, 2025 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Privacy-Preserving Graph Embedding based on Local Differential Privacy | Oct 17, 2023 | Graph EmbeddingLink Prediction | CodeCode Available | 0 | 5 |
| Long-term Conversation Analysis: Exploring Utility and Privacy | Jun 28, 2023 | Action DetectionActivity Detection | CodeCode Available | 0 | 5 |
| Disparate Impact on Group Accuracy of Linearization for Private Inference | Feb 6, 2024 | FairnessPrivacy Preserving | CodeCode Available | 0 | 5 |
| Differential privacy for symmetric log-concave mechanisms | Feb 23, 2022 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning | Sep 2, 2024 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation | Jan 31, 2023 | GPUPrivacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Sliced Wasserstein Distance | Jul 5, 2021 | Domain AdaptationPrivacy Preserving | CodeCode Available | 0 | 5 |
