Skip to main content

Research Repository

Advanced Search

Colour Processing in Adversarial Attacks on Face Liveness Systems

Abduh, Latifah; Ivrissimtzis, Ioannis

Colour Processing in Adversarial Attacks on Face Liveness Systems Thumbnail


Authors

Latifah Abduh



Contributors

Franck P. Vidal
Editor

Gary K. L. Tam
Editor

Jonathan C. Roberts
Editor

Abstract

In the context of face recognition systems, liveness test is a binary classification task aiming at distinguishing between input images that come from real people’s faces and input images that come from photos or videos of those faces, and presented to the system’s camera by an attacker. In this paper, we train the state-of-the-art, general purpose deep neural network ResNet for liveness testing, and measure the effect on its performance of adversarial attacks based on the manipulation of the saturation component of the imposter images. Our findings suggest that higher saturation values in the imposter images lead to a decrease in the network’s performance. Next, we study the relationship between the proposed adversarial attacks and corresponding direct presentation attacks. Initial results on a small dataset of processed images which are then printed on paper or displayed on an LCD or a mobile phone screen, show that higher saturation values lead to higher values in the network’s loss function, indicating that these colour manipulation techniques can indeed be converted into enhanced presentation attacks.

Citation

Abduh, L., & Ivrissimtzis, I. (2019). Colour Processing in Adversarial Attacks on Face Liveness Systems. In F. P. Vidal, G. K. . L. Tam, & J. C. Roberts (Eds.), Proceedings of Computer Graphics and Visual Computing 2019 (CGVC) (149-152). https://doi.org/10.2312/cgvc.20191272

Conference Name Computer Graphics and Visual Computing (CGVC)
Conference Location Bangor, UK
Acceptance Date Jul 22, 2019
Publication Date 2019
Deposit Date Sep 13, 2019
Publicly Available Date Mar 28, 2024
Pages 149-152
Book Title Proceedings of Computer Graphics and Visual Computing 2019 (CGVC).
DOI https://doi.org/10.2312/cgvc.20191272
Public URL https://durham-repository.worktribe.com/output/1141427

Files

Accepted Conference Proceeding (1.3 Mb)
PDF

Copyright Statement
This is the accepted version of the following article: Abduh, Latifah & Ivrissimtzis, Ioannis (2019), Colour Processing in Adversarial Attacks on Face Liveness Systems, in Vidal, Franck P., Tam, Gary K. L. & Roberts, Jonathan C. eds, Computer Graphics and Visual Computing (CGVC). Bangor, UK, The Eurographics Association, 149-152 which has been published in final form at http://doi.org/10.2312/cgvc.20191272





You might also like



Downloadable Citations