| Null-sampling for Interpretable and Fair Representations | Aug 12, 2020 | DisentanglementFairness | CodeCode Available | 0 |
| Integral Privacy for Sampling | Jun 13, 2018 | Density EstimationFairness | CodeCode Available | 0 |
| Achieving Counterfactual Fairness with Imperfect Structural Causal Model | Mar 26, 2023 | counterfactualCounterfactual Inference | CodeCode Available | 0 |
| Fair Machine Unlearning: Data Removal while Mitigating Disparities | Jul 27, 2023 | FairnessMachine Unlearning | CodeCode Available | 0 |
| Towards Conceptualization of "Fair Explanation": Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators | Oct 23, 2023 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare | Nov 29, 2024 | FairnessKnowledge Graphs | CodeCode Available | 0 |
| Oblivious Data for Fairness with Kernels | Feb 7, 2020 | Fairness | CodeCode Available | 0 |
| Deceptive Fairness Attacks on Graphs via Meta Learning | Oct 24, 2023 | Adversarial RobustnessFairness | CodeCode Available | 0 |
| Obtaining Dyadic Fairness by Optimal Transport | Feb 9, 2022 | FairnessLink Prediction | CodeCode Available | 0 |
| Software Engineering Principles for Fairer Systems: Experiments with GroupCART | Apr 17, 2025 | AttributeFairness | CodeCode Available | 0 |
