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Ming-Hui Liu

2 accepted papers

2025

Fair Deepfake Detectors Can Generalize

NeurIPS 2025poster

Deepfake detection models face two critical challenges: generalization to unseen manipulations and demographic fairness among population groups. However, existing approaches often demonstrate that these two objectives are inherently conflicting, revealing a trade-off between them. In this paper, we,…

Cited by 0SourceScholar
2025

Learning Real Facial Concepts for Independent Deepfake Detection

IJCAI 2025

Deepfake detection models often struggle with generalization to unseen datasets, manifesting as misclassifying real instances as fake in target domains. This is primarily due to an overreliance on forgery artifacts and a limited understanding of real faces. To address this challenge, we propose a no

Cited by 0SourcePDFScholar