| Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting | May 22, 2023 | Decision MakingPrivacy Preserving | CodeCode Available | 0 | 5 |
| ER-AE: Differentially Private Text Generation for Authorship Anonymization | Jul 20, 2019 | Privacy PreservingText Generation | CodeCode Available | 0 | 5 |
| FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning | Jun 7, 2022 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| Empowering Data Mesh with Federated Learning | Mar 26, 2024 | Decision MakingFederated Learning | CodeCode Available | 0 | 5 |
| Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods | Oct 30, 2023 | Privacy PreservingSystematic Literature Review | CodeCode Available | 0 | 5 |
| Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry | Dec 30, 2024 | Decision MakingPrivacy Preserving | CodeCode Available | 0 | 5 |
| Efficient and Privacy-Preserved Link Prediction via Condensed Graphs | Mar 15, 2025 | Link PredictionNode Classification | CodeCode Available | 0 | 5 |
| Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees | May 4, 2025 | Cloud ComputingPrivacy Preserving | CodeCode Available | 0 | 5 |
| A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning | Jul 24, 2023 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud | Jun 2, 2024 | Privacy Preserving | CodeCode Available | 0 | 5 |
