[visionlist] [IEEE Biometrics Council]: Free Webinar on "Face Presentation Attack Detection" by Prof. Dr. Sebastien Marcel

[Vitomir Struc]

*** Free Webinar on "Face Presentation Attack Detection" by Prof. Dr. 
Sebastien Marcel ***

The IEEE Biometrics Council recently initiated a (bi-monthly) Webinar 
series to promote important topics related to biometrics and share 
updates on the activities of the Council, the state of the IEEE 
Transactions on Biometrics, Identity and Behavior (TBIOM), upcoming 
calls and awards as well as other topics of interest to the community.

The second webinar in this series will be held on December 7th, 2022 at 
10am CET and will have a talk from Prof. Dr. Sebastien Marcel on "Face 
Presentation Attack Detection".

Feel free to take part in the webinar, participate in the discussions 
and learn about the exiting topic of Face Presentation Attack Detection.

Attendance at the webinar is free, but prior registration is required: 
https://us06web.zoom.us/webinar/register/WN_qEuvpABRQt-f15358CeMuA

For details on the webinar see: 
https://ieee-biometrics.org/index.php/activities/webinars

*****
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).