Upcoming Events

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.

Face recognition based on deep learning has emerged as a key component of identity verification and authentication in a number of fields, such as access control, law enforcement, and mobile banking. Concerns about privacy, fairness, and ethics have gained prominence as technological developments continue to influence its uses. It is essential to develop and assess these systems with privacy in mind while implementing a human-in-the-loop methodology.

We invite speakers to the NBL Annual Workshop 2025 to discuss the advantages, challenges and risks of face recognition given its significant technological and societal implications. By bringing together viewpoints from academics, government, law, ethics, and psychology, we hope to promote a multidisciplinary conversation in this workshop. The workshop will be held as a hybrid event, allowing both in-person and remote participation.

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This Lunch Talk will open with a brief introduction covering the definition and importance of security in biometrics, common security challenges in biometric systems and use cases. Mahesh will then move on to threats and risks in biometric hardware, including spoofing attacks, replay attacks, template inversion attacks, Man-in-the-Middle (MITM) attacks and side-channel attacks. The talk will then hone in on cryptographic techniques in biometric Hardware (symmetric, asymmetric, custom cryptography, hashing, etc) and secure biometric authentication (secure communication between biometric sensors and Host and Public Key Infrastructure (PKI) in biometric systems). Mahesh will conclude by discussing Trusted Platform Modules (TPM) and secure enclaves, the role of hardware security modules (HSM) in biometric encryption, protection against side-channel attacks (power analysis, timing attacks), and temper mechanism.

Curriculum vitæ

Mahesh Patel is a seasoned Principal Technical Architect with over 15 years of experience for designing and implementing robust, secured, scalable enterprise-grade IT solutions. He has expertise in the security of the software such as standalone applications, cloud applications, hardware such biometric devices, as well as data and data-transmission. He is focused on delivering the innovative architectures aligned with business objectives and security compliance and adept at identifying emerging technologies and driving strategic technology roadmaps to foster operational efficiency and enhance customer experiences.

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The use of fingerprint recognition is increasing day by day. Not only are we required (in European countries) to capture our fingerprints in order to obtain a passport or (soon) be granted entry into the EU, but we use them on a daily basis for basic tasks such as unlocking our smartphones or confirming a bank transaction.

In spite of the numerous benefits of utilising fingerprint recognition, some drawbacks come with this technology: one does not need to be a tech expert to carry out a presentation attack that may fool a system into believing you are someone else. Unattended capture devices need to have a Presentation Attack Detection (PAD) subsystem, to prevent such attacks.

The workshop raises awareness about this issue and about the current efforts of the biometric community in order to minimise the impact of such attacks. We will thus present a definition of the problem and provide the audience with possible solutions and a look into the future steps.

This workshop will feature presentations by experts from academic, industry, and governmental organisations and will facilitate interactions and discussions between the experts and the audience.

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Workshop of the Biometrics Working Group of TeleTrusT, the IT Security Association in Germany

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The IFPC 2025, takes place in remote participation mode, from April 1 until 3, 2025. The IFPC focuses on all technical factors affecting the deployment and use of high performance face recognition applications, including applications, standards, quality assessment,human aspects, demographic aspects, demographic effects, age and ageing effects, presentation attack detection, morphing datasets, their preparation, training and tuning, non-cooperative uses, accuracy measurement, and performance tests.

With support of the Department of Homeland Security's Science and Technology Directorate, the conference aims to assemble speakers from all over the world involved in face recognition development, procurement, deployment as well as operations. The main aim of the IFPC is to bring greater maturity to face recognition by improving performance, transparency and trustworthiness. Furthermore, during this event, speakers have the opportunity to present proposals for technical or policy presentations which address problems that might influence face recognition operations and applications. The IFPC focuses on improving relevant factors concerning face recognition, including performance, transparency and trustworthiness.

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IWBF is an international forum devoted to facilitating synergies in research and development among the areas of multimedia forensics, forensic biometrics, and forensic science. State-of-the-art research in areas such as biometrics, forensic science, surveillance, and multimedia forensics will be presented. The 9th edition of IWBF will be a meeting place for those concerned with the use of advanced biometric technologies in forensic applications, attracting participants from industry, research, academia, and end-users.

Topics of interest include, but are not limited to:

• Biometrics
• Attacks to biometric systems
• Multimodal biometrics
• Soft biometrics
• Mobile biometrics
• Biometric analysis of crime scenes
• Multimedia forensics
• Ethical and societal implications of biometrics and forensics
• Forensic Science
• Integrity verification
• Anonymization & Data Privacy
• Data de-identification
• Surveillance
• Mobile biometrics
• Information Theoretic Security
• Adversarial Signal Processing for biometrics and forensics
• Case studies on the aforementioned topics

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The European Association for Biometrics (EAB), the Center for Identification Technology Research (CITeR) and Idiap Research Institute are organising a 2-day biometrics workshop, hosted in Martigny Switzerland on May 19-20 2025, on the topics of Presentation/Morphing/Deepfake Attack Detection, Template Security, Foundation Models for Biometrics and Biometrics under the AI Act. This workshop is a third edition of the workshop on Presentation Attack Detection also previously hosted at the Idiap Research Institute in 2020 and 2023.

The workshop will be co-located with the CITeR Spring 2025 Program Review.

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The International Standard ISO/IEC 29794-5 Biometric sample quality - Part 5: Face image data was recently finalized. It was published along with this new standard the source code of the Open-Source Face Image Quality (OFIQ) software library, which is the reference implementation of this standard.

The standard defines a unified quality score for a face image and numerous, quality components, which provide accurate information such as the correctness of the pose or the sharpness of the face image (and many others).

This virtual meeting will provide an overview of the functionality provided with OFIQ and will give users an opportunity to raise questions and provide feedback.

How to ask a question? It is recommended, to fill in your question(s) during registration in the 'Comments' field or send an email to christoph.busch@h-da.de

The 12^th edition of the EAB Research Projects Conference is organised by the European Association on Biometrics (EAB)

The conference is currently the largest event on research funded by the European Union in the area of Biometrics and Identity Management. Over the previous successful editions, EAB-RPC has become the main forum in Europe where attendees can simultaneously: promote research carried out in biometrics, forge new links and networks, and identify the appropriate partners for possible future project applications. Last year’s edition welcomed over 70 participants from academia, industry and public institutions.

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All members of EAB are invited to join us for our annual General Assembly.

EAB is launching the nineteenth European Biometric Max Snijder, Research, and Industry Awards. These prestigious awards are granted annually to individuals who have been judged by a panel of internationally respected experts to be making a significant contribution to the field of biometrics research in Europe.

Sponsor of this event:

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Workshop of the Biometrics Working Group of TeleTrusT, the IT Security Association in Germany

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The proliferation of voice deepfakes and adversarial attacks presents an increasing challenge to the security and reliability of voice-based authentication and communication systems. While deepfake technology enables the generation of highly realistic synthetic speech, adversarial attacks exploit vulnerabilities in machine learning models to manipulate or evade detection systems. Both threats pose significant risks to biometric security and the overall trustworthiness of AI-driven applications.

This workshop will feature presentations by experts to explore recent advancements in detecting and mitigating both voice deepfakes and adversarial attacks. Discussions will focus on deep learning-based countermeasures, adversarial robustness techniques, generalisation across unseen attacks, and the evolving nature of attack strategies.

We thank our media partner:

Workshop of the Biometrics Working Group of TeleTrusT, the IT Security Association in Germany.

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