9 citations · 20 across the 6 of their papers we have counts for
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cs.CV2021★ 6 cited
An Examination of Fairness of AI Models for Deepfake Detection
Loc Trinh, Yan Liu
Recent studies have demonstrated that deep learning models can discriminate based on protected classes like race and gender. In this work, we evaluate bias present in deepfake data…
cs.CV2020★ 4 cited
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes
Loc Trinh, Michael Tsang, Sirisha Rambhatla +1
In this paper we propose a novel human-centered approach for detecting forgery in face images, using dynamic prototypes as a form of visual explanations. Currently, most state-of-t…