| EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning | Oct 2, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| Fair Class-Incremental Learning using Sample Weighting | Oct 2, 2024 | class-incremental learningClass Incremental Learning | —Unverified | 0 |
| Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications | Oct 2, 2024 | AutoMLEdge-computing | —Unverified | 0 |
| Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation | Oct 2, 2024 | Fairness | —Unverified | 0 |
| Conformal Prediction Sets Can Cause Disparate Impact | Oct 2, 2024 | Conformal PredictionFairness | CodeCode Available | 0 |
| FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks | Oct 1, 2024 | BenchmarkingFairness | —Unverified | 0 |
| Explainable Multi-Stakeholder Job Recommender Systems | Oct 1, 2024 | FairnessRecommendation Systems | —Unverified | 0 |
| Best Practices for Responsible Machine Learning in Credit Scoring | Sep 30, 2024 | Decision MakingFairness | CodeCode Available | 0 |
| Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification | Sep 30, 2024 | FairnessFew-Shot Learning | CodeCode Available | 0 |
| DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning | Sep 30, 2024 | DiversityDomain Adaptation | CodeCode Available | 0 |
