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Past Events

2024

NBLAW 2024 – Norwegian Biometrics Laboratory Annual Workshop 2024

Date: 2024-03-06 (09:30-15:45 CET) Location: Hybrid Event, Norwegian University of Science and Technology, Campus Gjøvik Room E 212, Norway

Organizer: Norwegian Biometrics Laboratory (NBL) in cooperation with the European Association for Biometrics (EAB)

Attendance is free of charge but registration is required prior to February 28 for in-person participation.


Program

Back in spring 2011 our Norwegian Biometrics Laboratory (NBL) was established and for the opening we organized a workshop. Since then we have celebrated the NBL Annual Workshops (NBLAW). All the workshops are listed on the NBL homepage.

With recent advancements in deep generative networks, the quality of synthetic face images has now reached a point where they are indistinguishable from real data in terms of human perception. To investigate the technological and societal impact of such technology, we invite speakers in the annual NBL workshop 2024 to discuss the benefits, challenges, and security threats associated with synthetic data in the context of face recognition. Our main goal for this workshop is to shed light on how synthetic data influences the application of face recognition from various perspectives, including governmental, legal, psychological, and academic viewpoints. The workshop will be held as a hybrid event and can be attended remotely as well.

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DHS OBIM - Current and Future Identity Initiatives

Date: 2024-02-06 (12:30-13:30 CET) Location: Zoom

Organizer: European Association for Biometrics (EAB)
Speakers: Dr. Alicia Locker (pending DHS approval)
Program

[Illustration] Banner on Lunch Talk on Current and Future Identity Initiatives

Dr. Locker will give an overview of the Office of Biometric Identity Management and the role it plays in enhancing homeland security. She will discuss the capabilities that FI has advanced in the past year, and current studies, projects, and collaborations she is moving forward with industry and academia in the US and internationally.

Curriculum vitæ

Dr. Alicia Locker is part of the OBIM Futures Identity (FI) Team. She engages in discussions with academia and industry in the field of biometrics and identity. Dr. Locker focuses on advances in biometrics that are coming in the next 5-20 years. Dr. Locker has a PhD in behavioral neuroscience and works to incorporate this topic into the government sector to help solve complex biometric and identity problems and enhance homeland security.

We thank our media partner:

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Evaluating Morphing Attack Detectors: an Overview of the Bologna Online Evaluation Platform

Date: 2024-01-23 (12:30-13:30 CET) Location: Zoom

Organizer: European Association for Biometrics (EAB)

Attendance is free of charge but registration is required.
Registered participants will receive dial-in credentials the morning of the event.


Speakers: Lorenzo Pellegrini
Program

[Illustration] Banner on Lunch Talk on Evaluating Morphing Attack Detectors

The goal of the Bologna Online Evaluation Platform is to provide a trusted platform that can be used to evaluate the performance of face morphing attack detection (MAD) algorithms.​ The platform can be used by academic groups, industry actors, and independent developers to evaluate the performance of both Single Image and Differential attack detectors on various benchmarks. Tests are carried out on sequestered datasets in a controlled environment​. In this talk, the BOEP platform will be briefly described and the main steps needed to submit an algorithm for evaluation will be shown.

Curriculum vitæ

Lorenzo Pellegrini is a post-doc at the University of Bologna, where he received his Ph.D. with a dissertation on “Continual Learning for Computer Vision Applications”. He is mainly active in the Computer Vision area, with his main fields of interest being Continual Lifelong Learning and Biometric Systems. He has been focusing on privacy-sensitive Continual and Federated Learning, with a focus on biometric data. He collaborated in upgrading the FVC platform to allow modern Face Morphing algorithms to be tested on sequestered datasets in a controlled environment.

We thank our media partner:

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