Biometrics and Internet Security Research Group | dasec
The current funding for ATHENE (BMBF and HMWK) and further third party funded projects (e.g. from BMBF, BSI, industry) allows us to employ motivated and outstanding staff members to work on their PhD in the area of IT security. Ten good reasons for
The large development of social networks has unveiled security concerns related to potential attacks on biometric systems. In particular, numerous examples have shown how a non-authorised subject can easily download a photo or video of a target individual, and use
Facial recognition has improved significantly in recent years. This opens up completely new possibilities and applications, but also carries the risk of misuse. People should therefore be able to protect their faces from unauthorised analysis and thus preserve their privacy.
In 2021 the FBTI (Fachbereichstag Informatik) Award is granted to a researcher, who expressed through his work a wider perspective to get a broader picture on biometric applications. The winner of this award is Andreas Nautsch, who conducted his PhD
EAB Virtual Events Series – Demographic Fairness in Biometric Systems Algorithmic decision systems have frequently been labelled as “biased”, “racist”, “sexist”, “unfair” by numerous media outlets, organisations, and researchers. Are such assessments justified? Should citizens and policymakers be concerned? What
Karina Knudsen defended her Master Thesis on Improving Fingerprint Presentation Attack Detection using Deep Learning and Computer Vision The purpose of this thesis is to explore different options that can help improve the performance of fingerprint presentation attack detection (FPAD)
Ulrich Scherhag successfully defended his Ph.D. thesis with the title „Face Morphing and Morphing Attack Detection“ on November 16th 2020. The examining committee members were Prof. Dr. Marc Fischlin, Prof. Dr. Marie-Christine Jakobs and Prof. Dr. Arjan Kuijper. The thesis
We are pleased to invite you to contribute a chapter to the first Edition of the book “Handbook of Digital Face Manipulation and Detection – From DeepFakes to Morphing Attacks” to be published in the Springer Advances in Computer Vision
Despite steadily increasing computational power, increasing numbers of subjects in data sets can cause identification systems such as face recognition to take a unreasonable long time to produce results. This is mainly due to the fact that the systems have
The team formed by Juan Tapia and Sebastian Gonzales from Chile are the Livedet 2020 winner (http://www.iris2020.livdet.org/). Livedet 2020 competition is an international contest focusing on evaluating the presentation attack detection from NIR iris images organized by the International Joint
In 2020 for the second time the EAB Max Snijder Award is granted to a researcher, who expressed through his work a wider perspective to get a broader picture on biometric applications. The winner of this award is Andreas Nautsch,