| Motley: Benchmarking Heterogeneity and Personalization in Federated Learning | Jun 18, 2022 | BenchmarkingFairness | CodeCode Available | 0 |
| A Brief Tutorial on Sample Size Calculations for Fairness Audits | Dec 7, 2023 | Binary ClassificationFairness | CodeCode Available | 0 |
| Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness | Aug 6, 2024 | counterfactualFairness | CodeCode Available | 0 |
| The Bouncer Problem: Challenges to Remote Explainability | Oct 3, 2019 | Fairness | CodeCode Available | 0 |
| Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection Systems | Oct 18, 2023 | Fairnessimage-classification | CodeCode Available | 0 |
| A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems | May 10, 2023 | Decision MakingFairness | CodeCode Available | 0 |
| Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning | Jan 12, 2025 | Decision MakingFairness | CodeCode Available | 0 |
| Procedural Fairness in Machine Learning | Apr 2, 2024 | Explainable artificial intelligenceFairness | CodeCode Available | 0 |
| How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities | Nov 15, 2023 | EthicsFairness | CodeCode Available | 0 |
| Procedural Fairness Through Decoupling Objectionable Data Generating Components | Nov 5, 2023 | Decision MakingFairness | CodeCode Available | 0 |
