Clemens Seibold

Research Associate

Contact

Mailing address:
Fraunhofer HHI
Einsteinufer 37
10587 Berlin
Germany

Visitor address:
Room 04-17
Otto-Dibelius-Straße/Salzufer 6
10587 Berlin

Phone: +49-(0)30-31002-146
E-mail:

Publications

2021

  • C. Seibold, A. Hilsmann, P. Eisert,
    Feature Focus: Towards Explainable and Transparent Deep Face Morphing Attack Detectors, MDPI Computers, Sep. 2021 doi: 10.3390/computers10090117
  • C. Seibold, A. Hilsmann, P. Eisert,
    Focused LRP: Explainable AI for Face Morphing Attack Detection, 2021 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW), Jan. 2021 doi: 10.1109/WACVW52041.2021.00014 [PDF]

2020

  • C. Seibold, W. Samek, A. Hilsmann, P. Eisert,
    Accurate and Robust Neural Networks for Face Morphing Attack Detection, Journal of Information Security and Applications 53, Aug. 2020 doi: 10.1016/j.jisa.2020.102526

2019

  • C. Seibold, A. Hilsmann, A. Makrushin, C. Kraetzer, T. Neubert, J. Dittmann, P. Eisert,
    Visual Feature Space Analyses of Face Morphing Detectors, International Workshop on Information Forensics and Security (WIFS), Delft, The Netherlands, Dec. 2019 doi: 10.1109/WIFS47025.2019.9034983
  • A. Makrushin, C. Kraetzer, J. Dittmann, C. Seibold, A. Hilsmann, P. Eisert,
    Dempster-Shafer Theory for Fusing Face Morphing Detectors, Proc. European Signal Processing Conference (EUSIPCO), A Coruña, Spain, Sep. 2019 doi: 10.23919/EUSIPCO.2019.8902533
  • C. Seibold, A. Hilsmann, P. Eisert,
    Style Your Face Morph and Improve Your Face Morphing Attack Detector, 18th International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, Sep. 2019 [Arxiv] [URL]

2018

  • C. Seibold, A. Hilsmann, P. Eisert,
    Reflection Analysis for Face Morphing Attack Detection, Proc. European Signal Processing Conference (EUSIPCO), Rome, Italy, Sep. 2018 doi: 10.23919/EUSIPCO.2018.8553116 [Arxiv]

2017

  • C. Seibold, W. Samek, A. Hilsmann, P. Eisert,
    Detection of Face Morphing Attacks by Deep Learning, Proceedings of 16th International Workshop on Digital Forensics and Watermarking (IWDW2017), Magdeburg, Germany, Aug. 2017 doi: 10.1007/978-3-319-64185-0_9 [PDF]
  • C. Seibold, A. Hilsmann, P. Eisert,
    Model-based motion blur estimation for the improvement of motion tracking, Computer Vision and Image Understanding, Volume 160, July. 2017 doi: 10.1016/j.cviu.2017.03.005

Short CV

12/2015 - present Research Associate in the Computer Vision & Graphics Group at Fraunhofer HHI
11/2009 - 01/2015 Student Research Assistant, Department of Computer Science, Humboldt University Berlin
10/2008 - 11/2015 Diploma in Computer Science at Humboldt University Berlin