Conditional Face Image Manipulation Detection: Combining Algorithm and Human Examiner Decisions

Author:

Ibsen Mathias1ORCID,Nichols Robert1ORCID,Rathgeb Christian1ORCID,Robertson David J.2ORCID,Davis Josh P.3ORCID,Løvåsdal Frøy4ORCID,Raja Kiran5ORCID,Jenkins Ryan E.3ORCID,Busch Christoph1ORCID

Affiliation:

1. Hochschule Darmstadt, Darmstadt, Germany

2. University of Strathclyde, Glasgow, United Kingdom

3. University of Greenwich, London, United Kingdom

4. National Police Directorate, Oslo, Norway

5. Norwegian University of Science and Technology, Gjøvik, Norway

Funder

German Federal Ministry of Education and Research and the Hessian Ministry of Higher Education, Research, Science and the Arts within their joint support of the National Research Center for Applied Cybersecurity

Publisher

ACM

Reference22 articles.

1. When two fields collide: Identifying “super-recognisers” for neuropsychological and forensic face recognition research

2. J. P. Davis R. Nichols D. J. Robertson M. Ibsen et al. 2024. The super-recogniser advantage extends to the detection of digitally manipulated faces. osf.io/preprints/psyarxiv/ye7ph

3. Capitalizing on the super-recognition advantage: a powerful, but underutilized, tool for policing and national security agencies;Davis J. P.;The Journal of The United States Homeland Defence and Security Information Analysis Center (HDIAC),2020

4. D. Debayan, X. Liu, and A. K. Jain. 2023. Unified Detection of Digital and Physical Face Attacks. In Intl. Conf. on Automatic Face and Gesture Recognition (FG). 1.--8.

5. M. Ferrara, A. Franco, and D. Maltoni. 2014. The magic passport. In IEEE Intl. Joint Conf. on Biometrics (IJCB). 1--7.

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