| Fairness in Federated Learning via Core-Stability | Nov 3, 2022 | Decision MakingFairness | —Unverified | 0 |
| Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study | Nov 3, 2022 | Fairness | —Unverified | 0 |
| Fair and Optimal Classification via Post-Processing | Nov 3, 2022 | AttributeClassification | CodeCode Available | 1 |
| Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity | Nov 3, 2022 | Attributecompressed sensing | —Unverified | 0 |
| Client Selection in Federated Learning: Principles, Challenges, and Opportunities | Nov 3, 2022 | FairnessFederated Learning | —Unverified | 0 |
| Stability of clinical prediction models developed using statistical or machine learning methods | Nov 2, 2022 | Fairness | —Unverified | 0 |
| Balancing Utility and Fairness in Submodular Maximization (Technical Report) | Nov 2, 2022 | Combinatorial OptimizationData Summarization | CodeCode Available | 0 |
| Fair Visual Recognition via Intervention with Proxy Features | Nov 2, 2022 | Fairness | —Unverified | 0 |
| Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain | Nov 1, 2022 | Adversarial AttackAdversarial Robustness | CodeCode Available | 1 |
| Fairness without Demographics through Knowledge Distillation | Nov 1, 2022 | FairnessKnowledge Distillation | CodeCode Available | 0 |
