Worst-Case Morphs: a Theoretical and a Practical Approach

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Abstract

Face Recognition (FR) systems have been shown to be vulnerable to morphing attacks. We examine exactly how challenging morphs can become. By showing a worst-case construction in the embedding space of an FR system and using a mapping from embedding space back to image space we generate images that show that this theoretical upper bound can be approximated if the FR system is known. The resulting morphs can also succesfully fool unseen FR systems and are useful for exploring and understanding the weaknesses of FR systems. Our method contributes to gaining more insight into the vulnerability of FR systems.

Original languageEnglish
Title of host publication2022 International Conference of the Biometrics Special Interest Group (BIOSIG)
EditorsArslan Bromme, Naser Damer, Marta Gomez-Barrero, Kiran Raja, Christian Rathgeb, Ana F. Sequeira, Massimiliano Todisco, Andreas Uhl
PublisherIEEE
ISBN (Electronic)9783885797234
DOIs
Publication statusPublished - 2022
Event21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022 - Darmstadt, Germany
Duration: 14 Sept 202216 Sept 2022
Conference number: 21

Conference

Conference21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022
Abbreviated titleBIOSIG 2022
Country/TerritoryGermany
CityDarmstadt
Period14/09/2216/09/22

Keywords

  • Biometrics
  • Face Recognition
  • Morphing Attack Detection
  • Vulnerability of Biometric Systems
  • 2023 OA procedure

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