Biometrics and Internet Security Research Group | dasec
Steffen Karcher successfully defended his Master Thesis on “Evaluation of Protective Measures for Machine Learning on Android” The use of artificial intelligence is currently experiencing strong growth due to the increased computing power of computers in the last decade. Machine
Jesper Bang successfully defended his Master Thesis on “Ensuring Security in Biometrics – Presentation Attack Detection for Contactless Fingerprint Recognition” In the current modern world, biometrics has become an integrated part of people’s daily lives. These systems provide fast and
Roman Kessler successfully defended his Master’s Thesis on ‘Analysis of face embeddings to facilitate image pre-selection for face morphing’ Face Morphing Attacks pose a novel threat to the security of identification documents. The fusion of the face images of two
A Master Face describes a, in most cases, semi-synthetic face image that achieves a significantly higher chance of false matches when attacking random face galleries. The methodology for creating a master face can vary. In this work we investigated if
Hailin Li defended his Master Thesis on Face Age Progression with Realness Distributions Face age progression was a newly discussed topic in recent years, which can be used in entertainment purpose photography effect. It can even be contributed to the
Pia Bauspieß defended her Master Thesis on Privacy-Preserving Preselection for Workload Reduction in Protected Biometric Identification Systems Biometric authentication has gained increasing popularity due to its usability and versatility, from smartphone access to border control. However, biometric data are sensitive
Cristian Botezatu defended his Master Thesis on Impact of Selfie Filters on Face Recognition Each individual has distinctive physiological and behavioural characteristics, making it possible for biometric systems to use this information for recognition purposes. Among other biometric systems, face
Jonas Olafsson defended his Master Thesis on Efficient Facial Identification using Homomorphically Encrypted Templates Biometric recognition systems are part of our daily lives. They provide a fast and convenient method of authentication as an alternative to the classical knowledge-
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
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)