| fairlib: A Unified Framework for Assessing and Improving Classification Fairness | May 4, 2022 | ClassificationFairness | CodeCode Available | 1 | 5 |
| Flames: Benchmarking Value Alignment of LLMs in Chinese | Nov 12, 2023 | BenchmarkingFairness | CodeCode Available | 1 | 5 |
| Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition | Feb 24, 2020 | Document ClassificationFairness | CodeCode Available | 1 | 5 |
| Disparate Impact in Differential Privacy from Gradient Misalignment | Jun 15, 2022 | Fairness | CodeCode Available | 1 | 5 |
| Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation | Feb 25, 2024 | Anomaly DetectionFairness | CodeCode Available | 1 | 5 |
| A Framework for Democratizing AI | Jan 1, 2020 | Fairness | CodeCode Available | 0 | 5 |
| DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy? | Jun 22, 2021 | Deep LearningFairness | CodeCode Available | 0 | 5 |
| DPER: Dynamic Programming for Exist-Random Stochastic SAT | May 19, 2022 | Bayesian InferenceFairness | CodeCode Available | 0 | 5 |
| EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning | Oct 2, 2024 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| Domain Adaptive Decision Trees: Implications for Accuracy and Fairness | Feb 27, 2023 | Domain AdaptationFairness | CodeCode Available | 0 | 5 |
