| A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications | Dec 5, 2024 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 | 0 |
| Algorithmic Fairness and Statistical Discrimination | Aug 17, 2022 | Decision MakingFairness | —Unverified | 0 | 0 |
| Ad Auctions for LLMs via Retrieval Augmented Generation | Jun 12, 2024 | FairnessRAG | —Unverified | 0 | 0 |
| A3:Ambiguous Aberrations Captured via Astray-Learning for Facial Forgery Semantic Sublimation | May 24, 2024 | DeepFake DetectionFace Swapping | —Unverified | 0 | 0 |
| Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps | Feb 28, 2025 | Decision MakingFairness | —Unverified | 0 | 0 |
| When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks | Nov 7, 2023 | FairnessPrediction | —Unverified | 0 | 0 |
| FEAMOE: Fair, Explainable and Adaptive Mixture of Experts | Oct 10, 2022 | FairnessMixture-of-Experts | —Unverified | 0 | 0 |
| FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems | Sep 8, 2022 | Fairness | —Unverified | 0 | 0 |
| Feature-based Individual Fairness in k-Clustering | Sep 9, 2021 | ClusteringFairness | —Unverified | 0 | 0 |
| Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention | Sep 29, 2021 | FairnessRepresentation Learning | —Unverified | 0 | 0 |
