18 citations · 26 across the 3 of their papers we have counts for
10 papers
Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition
Marco Huber, Philipp Terhörst, Florian Kirchbuchner +2
Face Recognition (FR) is increasingly used in critical verification decisions and thus, there is a need for assessing the trustworthiness of such decisions. The confidence of a dec…
On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations
Philipp Terhörst, Florian Bierbaum, Marco Huber +4
A MasterFace is a face image that can successfully match against a large portion of the population. Since their generation does not require access to the information of the enrolle…
MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence
Philipp Terhörst, André Boller, Naser Damer +2
An essential factor to achieve high accuracies in fingerprint recognition systems is the quality of its samples. Previous works mainly proposed supervised solutions based on image…
A Comprehensive Study on Face Recognition Biases Beyond Demographics
Philipp Terhörst, Jan Niklas Kolf, Marco Huber +5
Face recognition (FR) systems have a growing effect on critical decision-making processes. Recent works have shown that FR solutions show strong performance differences based on th…
MAAD-Face: A Massively Annotated Attribute Dataset for Face Images
Philipp Terhörst, Daniel Fährmann, Jan Niklas Kolf +3
Soft-biometrics play an important role in face biometrics and related fields since these might lead to biased performances, threatens the user's privacy, or are valuable for commer…
Beyond Identity: What Information Is Stored in Biometric Face Templates?
Philipp Terhörst, Daniel Fährmann, Naser Damer +2
Deeply-learned face representations enable the success of current face recognition systems. Despite the ability of these representations to encode the identity of an individual, re…