| Evaluating the Fairness of Neural Collapse in Medical Image Classification | Jul 8, 2024 | Deep LearningFairness | —Unverified | 0 | 0 |
| FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning | Jun 9, 2025 | FairnessMulti-Objective Reinforcement Learning | —Unverified | 0 | 0 |
| Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools | Oct 14, 2021 | Adversarial AttackFairness | —Unverified | 0 | 0 |
| Fair Differential Privacy Can Mitigate the Disparate Impact on Model Accuracy | Jan 1, 2021 | Fairness | —Unverified | 0 | 0 |
| Evaluating the fairness of fine-tuning strategies in self-supervised learning | Oct 1, 2021 | FairnessSelf-Supervised Learning | —Unverified | 0 | 0 |
| Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis | Mar 6, 2023 | FairnessLesion Classification | —Unverified | 0 | 0 |
| Evaluating the Fairness Impact of Differentially Private Synthetic Data | May 9, 2022 | Binary ClassificationFairness | —Unverified | 0 | 0 |
| A Notion of Individual Fairness for Clustering | Jun 8, 2020 | ClusteringFairness | —Unverified | 0 | 0 |
| Adversarial Scrutiny of Evidentiary Statistical Software | Jun 19, 2022 | Fairness | —Unverified | 0 | 0 |
| Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling | May 29, 2025 | Computational EfficiencyFairness | —Unverified | 0 | 0 |
