Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data Call for Papers

Call for competition participation  - 
IJCB 2022 - 
Competition on 
Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data

IJCB-SYN-MAD-2022

Competition website: https://sites.google.com/view/ijcb-syn-mad-2022

IJCB2022 website: https://ijcb2022.org/

----------------------------------------------------------------------

A face morphing attack aims at creating images that automatically or
by human experts are matched to faces of more than one
individual. When morphing attacks are used in travel or identity
documents, they allow multiple subjects to be verified to one
document. This faulty subject link can lead to a wide range of illegal
activities and lead to the development of morphing attack detection
(MAD) algorithms. However, most of the existing MAD solutions are
based on bona fide and attack images of real individuals and raise
various privacy concerns as well as limit the amount of publicly
available data for research.

This competition is the first to attract and present technical
solutions that enhance the accuracy of morphing attack detection and
it is the first competition on presentation attack detection to be
restricted to synthetic training data.

----------------------------------------------------------------------

All participants, who achieve competitive results, will be invited as
co-authors for the summary paper of this competition. The competition
summary paper will be submitted to the International Joint Conference
on Biometrics (IJCB) 2022.

----------------------------------------------------------------------

Schedule:

16. March 2022: Call for participation, website release, and registration open.

28. April 2022: Deadline for registration

30. April 2022: Deadline for algorithm submission

15. May 2022: Announcement of the results to the participants

31. May 2022: Submission of competition summary paper to IJCB 2022


----------------------------------------------------------------------

Competition Organizers

Marco Huber - Fraunhofer Institute for Computer Graphics Research IGD,
Germany and TU Darmstadt, Germany

Fadi Boutrous - Fraunhofer Institute for Computer Graphics Research
IGD, Germany and TU Darmstadt, Germany

Kiran Raja - Norwegian University of Science and Technology, Norway

Raghavendra Ramachandra - Norwegian University of Science and
Technology, Norway

Naser Damer - 
Fraunhofer Institute for Computer Graphics Research IGD, Germany  
and TU Darmstadt, Germany