计算机科学
面子(社会学概念)
人工智能
计算机视觉
人脸检测
假新闻
面部识别系统
质量(理念)
模式识别(心理学)
互联网隐私
社会科学
认识论
哲学
社会学
作者
Yuezun Li,Ming-Ching Chang,Siwei Lyu
出处
期刊:Cornell University - arXiv
日期:2018-01-01
被引量:178
标识
DOI:10.48550/arxiv.1806.02877
摘要
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.
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