| On the Interplay between Fairness and Explainability | Oct 25, 2023 | FairnessMulti Class Text Classification | —Unverified | 0 |
| Corrupting Neuron Explanations of Deep Visual Features | Oct 25, 2023 | Fairness | CodeCode Available | 0 |
| Identifying Reasons for Bias: An Argumentation-Based Approach | Oct 25, 2023 | AttributeDecision Making | —Unverified | 0 |
| Deceptive Fairness Attacks on Graphs via Meta Learning | Oct 24, 2023 | Adversarial RobustnessFairness | CodeCode Available | 0 |
| Robust Representation Learning for Unified Online Top-K Recommendation | Oct 24, 2023 | FairnessRepresentation Learning | —Unverified | 0 |
| On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms | Oct 24, 2023 | Fairness | —Unverified | 0 |
| A Canonical Data Transformation for Achieving Inter- and Within-group Fairness | Oct 23, 2023 | Fairness | —Unverified | 0 |
| Marginal Nodes Matter: Towards Structure Fairness in Graphs | Oct 23, 2023 | Fairness | —Unverified | 0 |
| Learning Fair Representations with High-Confidence Guarantees | Oct 23, 2023 | AllFairness | CodeCode Available | 0 |
| "One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System Behaviors | Oct 23, 2023 | AllFairness | —Unverified | 0 |
