| A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research | Sep 19, 2024 | FairnessPrivacy Preserving | —Unverified | 0 |
| Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift | Sep 19, 2024 | Fairness | —Unverified | 0 |
| A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs | Sep 18, 2024 | Conformal PredictionFairness | —Unverified | 0 |
| DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model | Sep 18, 2024 | Attributecounterfactual | —Unverified | 0 |
| User Subgrouping and Power Control for Multicast Massive MIMO over Spatially Correlated Channels | Sep 18, 2024 | Fairness | —Unverified | 0 |
| A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems | Sep 17, 2024 | Fairness | —Unverified | 0 |
| OATH: Efficient and Flexible Zero-Knowledge Proofs of End-to-End ML Fairness | Sep 17, 2024 | Fairness | —Unverified | 0 |
| Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation | Sep 17, 2024 | FairnessRecommendation Systems | —Unverified | 0 |
| Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation | Sep 17, 2024 | FairnessRAG | CodeCode Available | 1 |
| SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration | Sep 17, 2024 | Benchmarkingcounterfactual | CodeCode Available | 0 |
