| DP-NMT: Scalable Differentially-Private Machine Translation | Nov 24, 2023 | Machine TranslationNMT | CodeCode Available | 0 | 5 |
| DPM: Clustering Sensitive Data through Separation | Jul 6, 2023 | ClusteringPrivacy Preserving | CodeCode Available | 0 | 5 |
| Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees | Sep 4, 2022 | AttributeLink Prediction | CodeCode Available | 0 | 5 |
| DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning | Aug 19, 2023 | Multi-agent Reinforcement LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| DP-EM: Differentially Private Expectation Maximization | May 23, 2016 | Privacy Preserving | CodeCode Available | 0 | 5 |
| DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference | Mar 10, 2023 | Bayesian InferenceDrug Design | CodeCode Available | 0 | 5 |
| Domain Adaptation from Scratch | Sep 2, 2022 | Active LearningDomain Adaptation | CodeCode Available | 0 | 5 |
| Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation | Jul 14, 2025 | Domain AdaptationFederated Learning | CodeCode Available | 0 | 5 |
| DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM | Jun 28, 2019 | Privacy PreservingStochastic Optimization | CodeCode Available | 0 | 5 |
| DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries | May 27, 2025 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
