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In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking


3D Reconstruction in Canonical
Abstract


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

KeyWords
Fake Videos,eye blinking



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