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Paderborn University in February 2023 Show image information

Paderborn University in February 2023

Photo: Paderborn University, Hannah Brauckhoff

Dr.-Ing. Philipp Terhörst

Contact
Profile
Biography
Publications
Dr.-Ing. Philipp Terhörst

Responsible AI for Biometrics

Section Owner - Junior Professor - Research group leader - Responsible AI for Biometrics

Phone:
+49 5251 60-6657
Office:
F2.108
Office hours:

Upon request

Web:
Visitor:
Fürstenallee 11
33102 Paderborn
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).

Dr.-Ing. Philipp Terhörst
01.10.2022 - today

Research group leader at Paderborn University

Responsible AI for Biometrics

01.12.2017 - 30.09.2022

Research Scientist at Fraunhofer Institute for Computer Graphics Research IGD

Smart Living & Biometric Technologies

01.08.2021 - 31.07.2022

PostDoc at Norwegian University of Science and Technology (NTNU)

Alain Benssoussan Fellowship from the European Research Consortium for Informatics and Mathematics (ERCIM)


Open list in Research Information System

2022

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 (2022), 3(1), pp. 16-30

DOI


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

DOI


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. (2022), 4(2), pp. 263–275

DOI


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)

DOI


2021

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

DOI


Privacy-Enhancing Face Biometrics: A Comprehensive Survey

B. Meden, P. Rot, P. Terhörst, N. Damer, A. Kuijper, W.J. Scheirer, A. Ross, P. Peer, V. Struc, IEEE Trans. Inf. Forensics Secur. (2021), 16, pp. 4147–4183

DOI


MAAD-Face: A Massively Annotated Attribute Dataset for Face Images

P. Terhörst, D. Fährmann, J.N. Kolf, N. Damer, F. Kirchbuchner, A. Kuijper, IEEE Trans. Inf. Forensics Secur. (2021), 16, pp. 3942–3957

DOI


Mitigating Soft-Biometric Driven Bias and Privacy Concerns in Face Recognition Systems

P. Terhörst, Technical University of Darmstadt, Germany, 2021


On Soft-Biometric Information Stored in Biometric Face Embeddings

P. Terhörst, D. Fährmann, N. Damer, F. Kirchbuchner, A. Kuijper, IEEE Trans. Biom. Behav. Identity Sci. (2021), 3(4), pp. 519–534

DOI


Open list in Research Information System

The University for the Information Society