Biometrics and Internet Security Research Group | dasec
Machine Learning Operations (MLOps), the task of coordinating machine learning projects with multiple models and team members, is growing in importance and interest. Cloud computing resources are a popular option in this scenario due to many reasons like easily accessible
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
Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra, Kiran Raja, Christoph Busch received the best poster paper award for the contribution of “Time flies by: Analyzing the Impact of Face Ageing on the Recognition Performance with Synthetic Data ” at the 21st
Sebastian Schachner successfully defended his Bachelor Thesis on “Auswirkung von Kompression auf die Bildqualität für Gesichtserkennung” This work compares different compression schemes with respect to face recognition. Face recognition is an essential part of today’s society, as digital identification of
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
Girl’s Day 2022 at da/sec It was exciting to have 19 young women join the da/sec research group for a day of biometrics and programming on Thursday, April 28th, for this year’s Girl’s Day. The event organized all over Germany
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
Lorenz Liebler successfully defended his Ph.D. thesis Memory forensics is an important branch of digital forensics. Different concepts empower practitioners to perform deep analysis of potentially compromised systems by dissecting the acquired volatile memory of a target. The field mainly
Mathias Ibsen, Lazaro Janier Gonzalez-Soler, Christian Rathgeb, Pawel Drozdowski, Marta Gomez-Barrero and Christoph Busch of the da/sec group at Hochschule Darmstadt and Hochschule Ansbach received the best paper award for the contribution of “Differential Anomaly Detection for Facial Images ”
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