  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 neural networks. 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 tested over benchmarks
of eye-blinking detection datasets and also show promising performance on
detecting videos generated with DeepFake.
