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Found 4 papers, 1 papers with code
Multi-Channel Cross Modal Detection of Synthetic Face Images
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.
Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection
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.
Demographic Bias: A Challenge for Fingervein Recognition Systems?
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
Systems incorporating biometric technologies have become ubiquitous in personal, commercial, and governmental identity management applications.
