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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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%.

Original languageEnglish
Title of host publicationProceedings of the 2019 ACM Asia Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery
Publication date2 Jul 2019
Pages241-246
ISBN (Electronic)9781450367523
DOIs
Publication statusPublished - 2 Jul 2019
Event2019 ACM Asia Conference on Computer and Communications Security, AsiaCCS 2019 - Auckland, New Zealand
Duration: 9 Jul 201912 Jul 2019

Conference

Conference2019 ACM Asia Conference on Computer and Communications Security, AsiaCCS 2019
CountryNew Zealand
CityAuckland
Period09/07/201912/07/2019
SponsorAssociation for Computing Machinery

Keywords

  • Face authentication
  • Liveness detection
  • Perspective distortion

Cite this

Li, Y., Wang, Z., Li, Y., Deng, R., Chen, B., Meng, W., & Li, H. (2019). A closer look tells more: A facial distortion based liveness detection for face authentication. In Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security (pp. 241-246). Association for Computing Machinery. https://doi.org/10.1145/3321705.3329850
Li, Yan ; Wang, Zilong ; Li, Yingjiu ; Deng, Robert ; Chen, Binbin ; Meng, Weizhi ; Li, Hui. / A closer look tells more : A facial distortion based liveness detection for face authentication. Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery, 2019. pp. 241-246
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title = "A closer look tells more: A facial distortion based liveness detection for face authentication",
abstract = "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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Li, Y, Wang, Z, Li, Y, Deng, R, Chen, B, Meng, W & Li, H 2019, A closer look tells more: A facial distortion based liveness detection for face authentication. in Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery, pp. 241-246, 2019 ACM Asia Conference on Computer and Communications Security, AsiaCCS 2019, Auckland, New Zealand, 09/07/2019. https://doi.org/10.1145/3321705.3329850

A closer look tells more : A facial distortion based liveness detection for face authentication. / Li, Yan; Wang, Zilong; Li, Yingjiu; Deng, Robert; Chen, Binbin; Meng, Weizhi; Li, Hui.

Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery, 2019. p. 241-246.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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T2 - A facial distortion based liveness detection for face authentication

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AB - 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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Li Y, Wang Z, Li Y, Deng R, Chen B, Meng W et al. A closer look tells more: A facial distortion based liveness detection for face authentication. In Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security. Association for Computing Machinery. 2019. p. 241-246 https://doi.org/10.1145/3321705.3329850