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 language | English |
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Title of host publication | 2022 International Conference of the Biometrics Special Interest Group (BIOSIG) |
Editors | Arslan Bromme, Naser Damer, Marta Gomez-Barrero, Kiran Raja, Christian Rathgeb, Ana F. Sequeira, Massimiliano Todisco, Andreas Uhl |
Publisher | IEEE |
ISBN (Electronic) | 9783885797234 |
DOIs | |
Publication status | Published - 2022 |
Event | 21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022 - Darmstadt, Germany Duration: 14 Sept 2022 → 16 Sept 2022 Conference number: 21 |
Conference
Conference | 21st International Conference of the Biometrics Special Interest Group, BIOSIG 2022 |
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Abbreviated title | BIOSIG 2022 |
Country/Territory | Germany |
City | Darmstadt |
Period | 14/09/22 → 16/09/22 |
Keywords
- Biometrics
- Face Recognition
- Morphing Attack Detection
- Vulnerability of Biometric Systems
- 2023 OA procedure