| PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients | Mar 19, 2023 | FairnessFederated Learning | CodeCode Available | 1 |
| Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models | Mar 19, 2023 | AttributeFairness | CodeCode Available | 0 |
| DeAR: Debiasing Vision-Language Models with Additive Residuals | Mar 18, 2023 | AttributeBenchmarking | —Unverified | 0 |
| Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness | Mar 16, 2023 | Fairness | —Unverified | 0 |
| Fairness-aware Differentially Private Collaborative Filtering | Mar 16, 2023 | Collaborative FilteringFairness | —Unverified | 0 |
| FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification | Mar 15, 2023 | AttributeFairness | CodeCode Available | 0 |
| Fair Off-Policy Learning from Observational Data | Mar 15, 2023 | Decision MakingFairness | —Unverified | 0 |
| Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML | Mar 15, 2023 | AutoMLFairness | —Unverified | 0 |
| DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision | Mar 15, 2023 | counterfactualFairness | CodeCode Available | 1 |
| Graph Neural Network Surrogates of Fair Graph Filtering | Mar 14, 2023 | FairnessGraph Mining | —Unverified | 0 |
