14 citations · 14 across the 2 of their papers we have counts for
4 papers
Focused LRP: Explainable AI for Face Morphing Attack Detection
Clemens Seibold, Anna Hilsmann, Peter Eisert
The task of detecting morphed face images has become highly relevant in recent years to ensure the security of automatic verification systems based on facial images, e.g. automated…
Style Your Face Morph and Improve Your Face Morphing Attack Detector
Clemens Seibold, Anna Hilsmann, Peter Eisert
A morphed face image is a synthetically created image that looks so similar to the faces of two subjects that both can use it for verification against a biometric verification syst…
Reflection Analysis for Face Morphing Attack Detection
Clemens Seibold, Anna Hilsmann, Peter Eisert
A facial morph is a synthetically created image of a face that looks similar to two different individuals and can even trick biometric facial recognition systems into recognizing b…
Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks
Clemens Seibold, Wojciech Samek, Anna Hilsmann +1
Artificial neural networks tend to learn only what they need for a task. A manipulation of the training data can counter this phenomenon. In this paper, we study the effect of diff…