Upcoming Events

Deepfake videos, where a person's face is automatically swapped with a face of someone else, are becoming easier to generate with more realistic results. In response to the threat such manipulations can pose to our trust in video evidence, several large datasets of deepfake videos and many methods to detect them were proposed recently. However, it is still unclear how realistic deepfake videos are for an average person and whether the algorithms are significantly better than humans at detecting them. This talk presents a subjective study conducted in a crowdsourcing-like scenario, which systematically evaluates how hard it is for humans to see if the video is deepfake or not. A subset of videos from Facebook deepfake database was used in the evaluation and its results are compared with the performance of two different state of the art deepfake detection methods, based on Xception and EfficientNets (B4 variant) neural networks.

Curriculum vitæ

Dr Pavel Korshunov is a research associate at the Idiap Research Institute. He works on detection of deepfake and audio-visual manipulations, gender recognition, speaker anti-spoofing, and speech diarization. He is one of the contributors to the signal processing and machine learning open source toolbox "Bob". Previously, he worked on problems related to high dynamic range (HDR) imaging, crowdsourcing, visual privacy, and video surveillance. He has an ACM TOMM journal best paper award (2011), two top 10 best paper awards in MMSP 2014, and a top 10 best paper award in ICIP 2014. He has over 70 research publications and is a co-editor of JPEG XT standard for HDR images.

More than 15 years ago, the research community claimed that fingerprints are very difficult to reproduce and steal. We lost our "innocence" when, between 2001 and 2002, some scholars fabricated artificial replicas of the fingers, named "fake fingers" or "gummy fingers", that, if put on the fingerprint sensor surface, provided images impossible to distinguish from those of the live fingers, even by visual inspection of experts.

Since the fundamental problem was the lack of data, the organization of the International Fingerprint Liveness Detection Competition, known as "LivDet", helped our research group to acquire strong know-how on the difficulties in fabricating fake fingers.

From 2015 to the 2019 edition, deep-learning-based algorithms outnumbered the ones based on handcraft features. In this webinar, we firstly review the main techniques for fingerprint presentation attack detection. We also summarize the LivDet experience. Finally, we provide some anticipations of what we expect by the incoming Livdet 2021. Our goal is to answer the following question: what did we gain, and what did we lose on moving from methods based on handcrafted features to deep learning ones? What can a possible pathway for the future of this topic be?

Curriculum vitæ

Gian Luca Marcialis is Associate Professor of Computer Engineering at the University of Cagliari, Italy. He obtained the MS degree in Electronic Engineering in 2000, and the Ph.D. degree in Computer Engineering in 2004. Since 2000 he joined the Pattern Recognition and Applications Laboratory (PRA Lab) of the Dept. of Electrical and Electronic Engineering – University of Cagliari, where he is currently director of the Lab’s Biometric Unit.

Gian Luca has published more than one hundred papers on international journals, conferences and books (H-index is 34 according to Google Scholar). His main contributions are on the multi-modal fusion of classifiers for fingerprint classification and verification, the vulnerability assessment of multiple biometric systems, face recognition, adaptive biometric systems and fingerprint liveness detection, as well as EEG signal processing.

He is involved in international and national research projects as responsible and team leader (“BullyBuster”, “Let’s Crowd”, “Tabula Rasa”) and is also Chair of the International Competition of Fingerprint Liveness Detection (LivDet).

The conference is focused on all technical factors affecting the deployment and use of high performance face recognition applications, including applications, standards, advanced and rapid capture, quality assessment, age and ageing effects, demographic effects, presentation attack detection, non-cooperative uses, accuracy measurement and performance tests.

The Norwegian Biometrics Forum (NBF) is an open platform dedicated to regular exchange of information and experience related to the field of Biometrics. The target of the group is the interdisciplinary discussion between research, technology developers, data privacy experts, governmental agencies and operators of Biometric Systems. In the regular meetings new applications, latest research results and products are presented.

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

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

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

The 8^th edition of the EAB Research Projects Conference will take place as hybrid conference from 13 to 15 September 2021. The conference is organized by the European Association on Biometrics (EAB) in cooperation with the Joint Research Center (DG JRC) of the European Commission, through its Cyber and Digital Citizens’ security Unit. The EAB-RPC 2021 will be co-located with the EAB Biometrics Research, Industry and Max-Snijder-Awards and the IEEE BIOSIG Conference, later that same week.

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 100 participants from academia, industry and public institutions.

We thank our partners:

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

EAB is launching the fifteen 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.

We thank the sponsor of this event:

This seminar aims to provide an opportunity to learn first-hand from world-leading experts both the basics of biometric systems and also the latest developments across the community. It is aimed at a wide range of stakeholders including industrial and governmental developers and end-users, researchers, academics and post-graduate students, and policy makers.

The BIOSIG 2020 conference addresses current issues in the area of biometrics and will present innovations and best practices that can be transferred into future applications.