Face Presentation Attack Detection based on Privacy-aware Synthteic Training Data Competition (SynFacePAD-2023) Call for Papers

Call for competition participation
IJCB 2023
Face Presentation Attack Detection based on Privacy-aware
Synthteic Training Data Competition (SynFacePAD-2023)
 

Competition website: https://sites.google.com/view/ijcb-synfacepad-2023

IJCB2022 website: https://ijcb2023.ieee-biometrics.org/

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Significant progress has been made in face presentation attack
detection (PAD), which aims to secure face recognition systems against
presentation attacks, owing to the availability of several face PAD
datasets.  However, all available datasets are based on privacy and
legally-sensitive authentic biometric data with a limited number of
subjects.  The need for the development of face PAD datasets that
prioritize the privacy of individuals, promote data sharing within the
research community, and ensure the reproducibility and continuity of
face PAD research motivated us to hold SynFacePAD competition.
SynFacePAD competition is the first to attract and showcase technical
solutions that improve the accuracy of face PAD and it is the first
biometric PAD competition to be completely and restrictively based on
synthetic training data. The impact of the competition is to promote
the development of privacy-aware biometric solution and bring the
development of PAD solution forward in terms of detection performance.
The synthetic training data will be provided by the organizers! All
you have to do is to get creative!

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The top-3 ranked teams will be invited as the co-authors of the
competition report paper (this will be extended in case of a large
number of competitive participants). The competition summary paper
will be submitted to the International Joint Conference on Biometrics
(IJCB) 2023.

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Schedule information under: https://sites.google.com/view/ijcb-synfacepad-2023

 

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Competition Organizers

 

Meiling Fang - Fraunhofer Institute for Computer Graphics Research
IGD, Germany and TU Darmstadt, Germany.

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

Julian Fierrez - Universidad Autonoma de Madrid, Spain.

Raghavendra Ramachandra - Norwegian University of Science and
Technology, Norway.

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

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Best regards,

 

On behalf of the organizers,

Naser Damer
Smart Living & Biometric Technologies
Fraunhofer Institute for Computer Graphics Research IGD
Fraunhoferstr. 5  |  64283 Darmstadt  |  Germany Tel +49 6151 155-521
Fax +49 6151 155-499 | naser.damer@igd.fraunhofer.de  |