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The new developments in deep generative networks have significantly improve the quality and efficiency in generating realistically-looking fake face videos. In this work, we describe a new method to expose fake face videos generated with deep neural network models. Our method is based on detection of eye blinking in the videos, which is a physiological signal that is not well presented in the synthesized fake videos. Our method is evaluated over benchmarks of eye-blinking detection datasets and shows promising performance on detecting videos generated with DNN based software DeepFake.
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Li et al. (Sat,) studied this question.
www.synapsesocial.com/papers/6a02a387c8c4199b329e2478 — DOI: https://doi.org/10.1109/wifs.2018.8630787
Yuezun Li
Ming‐Ching Chang
Siwei Lyu
University at Albany, State University of New York
Albany State University
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