| Bias Propagation in Federated Learning | Sep 5, 2023 | FairnessFederated Learning | CodeCode Available | 1 |
| DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks | Oct 25, 2021 | Fairness | CodeCode Available | 1 |
| DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues | Oct 27, 2023 | Fairness | CodeCode Available | 1 |
| Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metrics | Jun 8, 2021 | Age And Gender ClassificationBenchmarking | CodeCode Available | 1 |
| Demystifying Large Language Models for Medicine: A Primer | Oct 24, 2024 | FairnessPrompt Engineering | CodeCode Available | 1 |
| Deontological Ethics By Monotonicity Shape Constraints | Jan 31, 2020 | EthicsFairness | CodeCode Available | 1 |
| Disparate Impact in Differential Privacy from Gradient Misalignment | Jun 15, 2022 | Fairness | CodeCode Available | 1 |
| DISSECT: Disentangled Simultaneous Explanations via Concept Traversals | May 31, 2021 | counterfactualFairness | CodeCode Available | 1 |
| Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics | Jun 6, 2022 | Decision MakingFairness | CodeCode Available | 1 |
| AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data | Mar 7, 2025 | DiversityFairness | CodeCode Available | 1 |
