CIS Network Seminars: #IDIAP: Prof. Sébastien Marcel
Title: Face Presentation Attack Detection
Abstract:
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.
Bio:
Prof Sébastien Marcel (IEEE Senior member) 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 is also Professor at the University de Lausanne (UNIL) at the School of Criminal Justice and lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL). 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 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).
The Center for Intelligent Systems at EPFL (CIS) is a collaboration among IC, ENAC, SB; SV and STI that brings together researchers working on different aspects of Intelligent Systems.
Collaboration and networking are crucial in the advancement of research and are key pillars of the CIS’ activities. We are thrilled to announce a new series of talks: the “CIS Network Seminars”, where we will invite experts from our network to share their work.
The CIS seminar will take place In hybrid mode: Room INF 328 and by Zoom https://epfl.zoom.us/meeting/register/u5wtdu6grDouGtzo4K7OHAsp2DqWNr_hdILw
Monday 24 April, 2023 from 3:15 to 4:15 pm
NB: Video recordings of the seminars will be made available on our website and published on our social media pages
Abstract:
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.
Bio:
Prof Sébastien Marcel (IEEE Senior member) 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 is also Professor at the University de Lausanne (UNIL) at the School of Criminal Justice and lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL). 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 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).
The Center for Intelligent Systems at EPFL (CIS) is a collaboration among IC, ENAC, SB; SV and STI that brings together researchers working on different aspects of Intelligent Systems.
Collaboration and networking are crucial in the advancement of research and are key pillars of the CIS’ activities. We are thrilled to announce a new series of talks: the “CIS Network Seminars”, where we will invite experts from our network to share their work.
The CIS seminar will take place In hybrid mode: Room INF 328 and by Zoom https://epfl.zoom.us/meeting/register/u5wtdu6grDouGtzo4K7OHAsp2DqWNr_hdILw
Monday 24 April, 2023 from 3:15 to 4:15 pm
NB: Video recordings of the seminars will be made available on our website and published on our social media pages
Practical information
- General public
- Free
Organizer
- CIS