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cs.LG2025★ 1 cited
Rethinking Individual Fairness in Deepfake Detection
Aryana Hou, Li Lin, Justin Li +1
Generative AI models have substantially improved the realism of synthetic media, yet their misuse through sophisticated DeepFakes poses significant risks. Despite recent advances i…
cs.LG2025
Preserving AUC Fairness in Learning with Noisy Protected Groups
Mingyang Wu, Li Lin, Wenbin Zhang +3
The Area Under the ROC Curve (AUC) is a key metric for classification, especially under class imbalance, with growing research focus on optimizing AUC over accuracy in applications…