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A Closer Look Tells More: A Facial Distortion Based Liveness Detection for Face Authentication
Conference proceeding

A Closer Look Tells More: A Facial Distortion Based Liveness Detection for Face Authentication

Yan Li, Zilong Wang, Yingjiu Li, Robert Deng, Binbin Chen, Weizhi Meng, Hui Li and ACM
Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, pp.241-246
01/01/2019
DOI: https://doi.org/10.1145/3321705.3329850

Abstract

Computer Science Computer Science, Information Systems Computer Science, Theory & Methods Science & Technology Technology Telecommunications
Face authentication is vulnerable to media-based virtual face forgery (MVFF) where adversaries display photos/videos or 3D virtual face models of victims to spoof face authentication systems. In this paper, we propose a liveness detection mechanism, called FaceCloseup, to protect the face authentication on mobile devices. FaceCloseup detects MVFF-based attacks by analyzing the distortion of face regions in a user's closeup facial videos captured by built-in camera on mobile device. It can detect MVFF-based attacks with an accuracy of 99.48%.
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https://doi.org/10.1145/3321705.3329850View
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