Search Results for author: C. Rathgeb

Found 4 papers, 1 papers with code

Multi-Channel Cross Modal Detection of Synthetic Face Images

1 code implementation28 Nov 2023 M. Ibsen, C. Rathgeb, S. Marcel, C. Busch

Synthetically generated face images have shown to be indistinguishable from real images by humans and as such can lead to a lack of trust in digital content as they can, for instance, be used to spread misinformation.

Misinformation

Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection

no code implementations14 Nov 2022 M. Ibsen, C. Rathgeb, F. Brechtel, R. Klepp, K. Pöppelmann, A. George, S. Marcel, C. Busch

In an extensive evaluation, we show that this type of attack can compromise the security of face recognition systems and that some state-of-the-art attack detection mechanisms trained on popular benchmarks fail to robustly generalize to the new attacks.

Anomaly Detection Face Recognition

Demographic Bias: A Challenge for Fingervein Recognition Systems?

no code implementations3 Apr 2020 P. Drozdowski, B. Prommegger, G. Wimmer, R. Schraml, C. Rathgeb, A. Uhl, C. Busch

Recently, concerns regarding potential biases in the underlying algorithms of many automated systems (including biometrics) have been raised.

Demographic Bias in Biometrics: A Survey on an Emerging Challenge

no code implementations5 Mar 2020 P. Drozdowski, C. Rathgeb, A. Dantcheva, N. Damer, C. Busch

Systems incorporating biometric technologies have become ubiquitous in personal, commercial, and governmental identity management applications.

Face Recognition Management

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