| Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data | Jan 3, 2024 | FairnessSelf-Supervised Learning | —Unverified | 0 | 0 |
| Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling | Dec 5, 2022 | AttributeFairness | —Unverified | 0 | 0 |
| Breaking Fair Binary Classification with Optimal Flipping Attacks | Apr 12, 2022 | Binary ClassificationClassification | —Unverified | 0 | 0 |
| Evaluating Fair Feature Selection in Machine Learning for Healthcare | Mar 28, 2024 | Decision MakingFairness | —Unverified | 0 | 0 |
| Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors | Oct 4, 2022 | DisentanglementFairness | —Unverified | 0 | 0 |
| Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains | Oct 10, 2024 | FairnessPrivacy Preserving | —Unverified | 0 | 0 |
| Boxer: Interactive Comparison of Classifier Results | Apr 16, 2020 | FairnessModel Selection | —Unverified | 0 | 0 |
| An Introduction to Artificial Intelligence and Solutions to the Problems of Algorithmic Discrimination | Nov 8, 2019 | Fairness | —Unverified | 0 | 0 |
| Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation | Nov 21, 2023 | Fairness | —Unverified | 0 | 0 |
| Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems | Mar 19, 2025 | counterfactualDecision Making | —Unverified | 0 | 0 |
