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  4. Realistic Dreams: Cascaded Enhancement of GAN-generated Imageswith an Example in Face Morphing Attacks
 
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2019
Conference Paper
Title

Realistic Dreams: Cascaded Enhancement of GAN-generated Imageswith an Example in Face Morphing Attacks

Abstract
The quality of images produced by generative adversarial networks (GAN) is commonly a trade-off between the model size, its training data needs, and the generation resolution. This trad-off is clear when applying GANs to issues like generating face morphing attacks, where the latent vector used by the generator is manipulated. In this paper, we propose an image enhancement solution designed to increase the quality and resolution of GAN-generated images. The solution is designed to require limited training data and be extendable to higher resolutions. We successfully apply our solution on GAN-based face morphing attacks. Beside the face recognition vulnerability and attack detectability analysis, we prove that the images enhanced by our solution are of higher visual and quantitative quality in comparison to unprocessed attacks and attack images enhanced by state-of-the-art super-resolution approaches.
Author(s)
Damer, Naser  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Boutros, Fadi  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Saladie, Alexandra Moseguí
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kirchbuchner, Florian  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kuijper, Arjan  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
IEEE 10th International Conference on Biometrics Theory, Applications and Systems, BTAS 2019  
Project(s)
CRISP
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
Conference
International Conference on Biometrics - Theory, Applications and Systems (BTAS) 2019  
DOI
10.1109/BTAS46853.2019.9185994
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic- Smart City

  • Lead Topic- Visual Computing as a Service

  • Research Line- Computer vision (CV)

  • Research Line- Human computer interaction (HCI)

  • Biometrics

  • Face recognition

  • Image generation

  • Spoofing attacks

  • CRISP

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