@inproceedings{ed1c0d4ef1484dff9c95f69f6f330113,
title = "In Ictu Oculi: Exposing AI created fake videos by detecting eye blinking",
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.",
author = "Yuezun Li and Chang, \{Ming Ching\} and Siwei Lyu",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th IEEE International Workshop on Information Forensics and Security, WIFS 2018 ; Conference date: 10-12-2018 Through 13-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/WIFS.2018.8630787",
language = "English",
series = "10th IEEE International Workshop on Information Forensics and Security, WIFS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "10th IEEE International Workshop on Information Forensics and Security, WIFS 2018",
}