| Intersectional Two-sided Fairness in Recommendation | Feb 5, 2024 | FairnessRecommendation Systems | CodeCode Available | 0 |
| TexShape: Information Theoretic Sentence Embedding for Language Models | Feb 5, 2024 | Data CompressionFairness | CodeCode Available | 0 |
| Verifiable evaluations of machine learning models using zkSNARKs | Feb 5, 2024 | Fairness | CodeCode Available | 0 |
| Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing | Feb 5, 2024 | AttributeClassification | CodeCode Available | 0 |
| Recommendation Fairness in Social Networks Over Time | Feb 5, 2024 | counterfactualFairness | —Unverified | 0 |
| Fairness and Privacy Guarantees in Federated Contextual Bandits | Feb 5, 2024 | FairnessFederated Learning | —Unverified | 0 |
| Counterfactual Fairness Is Not Demographic Parity, and Other Observations | Feb 5, 2024 | counterfactualFairness | —Unverified | 0 |
| Regulation Games for Trustworthy Machine Learning | Feb 5, 2024 | FairnessGender Classification | —Unverified | 0 |
| Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks | Feb 3, 2024 | FairnessFederated Learning | —Unverified | 0 |
| Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models | Feb 2, 2024 | Data AugmentationFairness | —Unverified | 0 |
