In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
Published in
arXiv.org(2018)External Links:
TL
TL;DR
This work describes a new method to expose fake face videos generated with neural networks based on detection of eye blinking in the videos, which is a physiological signal that is not well presented in the synthesized fake videos.
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 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.
References33 items
1
Learning Generalized Deep Feature Representation for Face Anti-Spoofing
2
A Study of Deep CNN-Based Classification of Open and Closed Eyes Using a Visible Light Camera Sensor
3
Unsupervised Image-to-Image Translation Networks
4
Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State
5