The IEEE Biometrics Council invites participants to the upcoming (free)
webinar by Prof. Sébastien Marcel on “Face Presentation Attack
Detection”. Detail on the webinar are given below:

Title: Face Presentation Attack Detection
Speaker: Prof. Sébastien Marcel, University de Lausanne/IDIAP, Switzerland
When: 7 December 2022, at 10am CET (5 pm CST, 4am ET)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_qEuvpABRQt-f15358CeMuA

*** Talk Summary ***
In biometrics, Presentation Attacks (PA also referred to as spoofing)
are performed by falsifying the biometric trait and then presenting this
falsified information to the biometric system, one such example is to
fool a fingerprint system by copying the fingerprint of another person
and creating an artificial or gummy finger which can then be presented
to the biometric system to falsely gain access. This is an issue that
needs to be addressed because it has recently been shown that
conventional biometric techniques are vulnerable to presentation
attacks. One of the main challenges in Presentation Attack Detection
(PAD also referred to as anti-spoofing) is to find a set of features and
models (mostly classifiers) that allows systems to effectively
distinguish signals that were directly emitted by a human from those
reproduced by an attacker. This talk will present an overview of typical
face PAs and PAD techniques.

*** About the Speaker ***
Sébastien Marcel (IEEE Senior member – H-index 63) is Professor at the University de Lausanne (UNIL) at the School of Criminal Justice and lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL) where he is teaching on “Biometrics” and “Fundamentals in Statistical Pattern Recognition” respectively. He serves on the Program Committee of several
scientific journals and international conferences in pattern recognition and computer vision. He is a senior researcher at the Idiap Research Institute (Switzerland), he heads the Biometrics Security and Privacy group and conducts research on face recognition, speaker recognition,
vein recognition, attack detection (presentation attacks, morphing attacks, deepfakes) and template protection. He received his Ph.D. degree in signal processing from Université de Rennes I in France (2000) at CNET, the research center of France Telecom (now Orange Labs). He is also the Director of the Swiss Center for Biometrics Research and Testing, which conducts certifications of biometric products. He is Associate Editor of IEEE Transactions on Biometrics and Identity Science. He was Associate Editor of IEEE Signal Processing Letters,
Associate Editor of IEEE Transactions on Information Forensics and Security, a Co-editor of the “Handbook of Biometric Anti-Spoofing”, a guest Editor of the IEEE Transactions on Information Forensics and Security Special Issue on “Biometric Spoofing and Countermeasures”, and
Co-editor of the IEEE Signal Processing Magazine Special Issue on “Biometric Security and Privacy”. He is also the lead Editor of the Springer Handbook of Biometrics Anti-Spoofing (Editions 1, 2 and 3).

For more information, visit:
https://ieee-biometrics.org/index.php/activities/webinars