| Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization | Feb 10, 2020 | Face RecognitionFairness | CodeCode Available | 0 |
| Sampling Ex-Post Group-Fair Rankings | Mar 2, 2022 | Fairness | CodeCode Available | 0 |
| Post-hoc Bias Scoring Is Optimal For Fair Classification | Oct 9, 2023 | Binary ClassificationFairness | CodeCode Available | 0 |
| Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs | Apr 7, 2025 | BenchmarkingFairness | CodeCode Available | 0 |
| Policy Learning with Observational Data | Feb 9, 2017 | FairnessForm | CodeCode Available | 0 |
| Fundamental Limits of Perfect Concept Erasure | Mar 25, 2025 | Fairness | CodeCode Available | 0 |
| Sampling with Trusthworthy Constraints: A Variational Gradient Framework | Dec 1, 2021 | Bayesian InferenceFairness | CodeCode Available | 0 |
| Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | Aug 22, 2019 | Data ValuationFairness | CodeCode Available | 0 |
| Sampling with Trusthworthy Constraints: A Variational Gradient Framework | May 21, 2021 | Bayesian InferenceFairness | CodeCode Available | 0 |
| Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification | Jan 18, 2021 | BIG-bench Machine LearningClassification | CodeCode Available | 0 |
| Post-processing for Fair Regression via Explainable SVD | Apr 4, 2025 | AttributeFairness | CodeCode Available | 0 |
| GANTouch: An Attack-Resilient Framework for Touch-based Continuous Authentication System | Oct 2, 2022 | FairnessGenerative Adversarial Network | CodeCode Available | 0 |
| EiX-GNN : Concept-level eigencentrality explainer for graph neural networks | Jun 7, 2022 | FairnessTransfer Learning | CodeCode Available | 0 |
| Post-processing for Individual Fairness | Oct 26, 2021 | Fairness | CodeCode Available | 0 |
| Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making | May 10, 2022 | Decision MakingFairness | CodeCode Available | 0 |
| Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees | Jun 15, 2018 | ClassificationFairness | CodeCode Available | 0 |
| GBM-based Bregman Proximal Algorithms for Constrained Learning | Aug 21, 2023 | Fairness | CodeCode Available | 0 |
| Certified Defense on the Fairness of Graph Neural Networks | Nov 5, 2023 | FairnessGraph Learning | CodeCode Available | 0 |
| Domain Adaptive Decision Trees: Implications for Accuracy and Fairness | Feb 27, 2023 | Domain AdaptationFairness | CodeCode Available | 0 |
| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 |
| Teach2Eval: An Indirect Evaluation Method for LLM by Judging How It Teaches | May 18, 2025 | FairnessMemorization | CodeCode Available | 0 |
| Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans | Mar 4, 2024 | Domain AdaptationFairness | CodeCode Available | 0 |
| Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning | Nov 27, 2024 | DiversityFairness | CodeCode Available | 0 |
| A Study of Implicit Ranking Unfairness in Large Language Models | Nov 13, 2023 | Data AugmentationFairness | CodeCode Available | 0 |
| Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching | Jul 6, 2023 | Fairness | CodeCode Available | 0 |
