| Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models | May 24, 2023 | Fairness | CodeCode Available | 0 |
| Fair Differentially Private Federated Learning Framework | May 23, 2023 | FairnessFederated Learning | —Unverified | 0 |
| Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models | May 23, 2023 | AllFairness | —Unverified | 0 |
| FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software | May 23, 2023 | Decision MakingFairness | —Unverified | 0 |
| Mitigating fairwashing using Two-Source Audits | May 23, 2023 | Fairness | —Unverified | 0 |
| A Trip Towards Fairness: Bias and De-Biasing in Large Language Models | May 23, 2023 | Fairness | —Unverified | 0 |
| Curse of "Low" Dimensionality in Recommender Systems | May 23, 2023 | DiversityFairness | —Unverified | 0 |
| Fair Oversampling Technique using Heterogeneous Clusters | May 23, 2023 | Fairness | —Unverified | 0 |
| Fairness of ChatGPT | May 22, 2023 | Fairness | CodeCode Available | 0 |
| DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation | May 22, 2023 | Adversarial RobustnessFairness | CodeCode Available | 0 |
