Dr.-Ing. Philipp Terhörst

Section Owner - Junior Professor
Research group leader - Responsible AI for Biometrics
Office Address:
Fürstenallee 11
33102 Paderborn
Room:
F2.108
Sprechzeiten:

Upon request

Member - Project Partner
Associated Postdoctoral Researcher
Office Address:
Fürstenallee 11
33102 Paderborn
Room:
F2.108

Publications

Latest Publications

A Comprehensive Study on Face Recognition Biases Beyond Demographics
P. Terhörst, J.N. Kolf, M. Huber, F. Kirchbuchner, N. Damer, A.M. Moreno, J. Fierrez, A. Kuijper, IEEE Transactions on Technology and Society 3 (2022) 16–30.
Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition
M. Huber, P. Terhörst, A.T. Luu, F. Kirchbuchner, N. Damer, in: 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022, IEEE, 2022, pp. 938–944.
An Attack on Facial Soft-Biometric Privacy Enhancement
D.O. Roig, C. Rathgeb, P. Drozdowski, P. Terhörst, V. Struc, C. Busch, IEEE Trans. Biom. Behav. Identity Sci. 4 (2022) 263–275.
Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition
M. Huber, P. Terhörst, F. Kirchbuchner, N. Damer, A. Kuijper, 33nd British Machine Vision Conference 2022 (2022).
MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence
P. Terhörst, A. Boller, N. Damer, F. Kirchbuchner, A. Kuijper, in: International IEEE Joint Conference on Biometrics, IJCB 2021, Shenzhen, China, August 4-7, 2021, IEEE, 2021, pp. 1–8.
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Teaching


Current Courses

  • Machine Learning for Biometrics (in English)

Further Information

BIOS

Dr. Philipp Terhörst is a research group leader at Paderborn University working on “Responsible AI for Biometrics”. He received his Ph.D. in computer science in 2021 from the Technical University of Darmstadt for his work on “Mitigating Soft-Biometric Driven Bias and Privacy Concerns in Face Recognition Systems” and worked at the Fraunhofer IGD from 2017 to 2022. He was also an ERCIM fellow at the Norwegian University of Science and Technology funded by the European Research Consortium for Informatics and Mathematics. His interest lies in responsible machine learning algorithms in the context of biometrics.  This includes the topics of fairness, privacy, explainability, uncertainty, and confidence. Dr. Terhörst is the author of several publications in conferences and journals such as CVPR and IEEE TIFS and regularly works as a reviewer for e.g. TPAMI, TIP, PR, BTAS, ICB. For his scientific work, he received several awards such as from the European Association for Biometrics and the International Joint Conference for Biometrics. He furthermore participated in the ’Software Campus’ Program, a management program of the German Federal Ministry of Education and Research (BMBF).