| Certified Defense on the Fairness of Graph Neural Networks | Nov 5, 2023 | FairnessGraph Learning | CodeCode Available | 0 | 5 |
| Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | Aug 22, 2019 | Data ValuationFairness | CodeCode Available | 0 | 5 |
| Blind Justice: Fairness with Encrypted Sensitive Attributes | Jun 8, 2018 | Fairness | CodeCode Available | 0 | 5 |
| Fair Reciprocal Recommendation in Matching Markets | Sep 1, 2024 | FairnessRecommendation Systems | CodeCode Available | 0 | 5 |
| Achieving Distributive Justice in Federated Learning via Uncertainty Quantification | Apr 22, 2025 | EthicsFairness | CodeCode Available | 0 | 5 |
| EiX-GNN : Concept-level eigencentrality explainer for graph neural networks | Jun 7, 2022 | FairnessTransfer Learning | CodeCode Available | 0 | 5 |
| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Fair Representation Learning for Heterogeneous Information Networks | Apr 18, 2021 | FairnessRepresentation Learning | CodeCode Available | 0 | 5 |
| Empirical Risk Minimization under Fairness Constraints | Feb 23, 2018 | Fairness | CodeCode Available | 0 | 5 |
| Ethical Considerations for Responsible Data Curation | Feb 7, 2023 | DiversityFairness | CodeCode Available | 0 | 5 |
