Therefore, a failure to generalize on unseen types of attacks is one of the main potential challenges in existing anti-spoofing approaches. First, to ...
Attacks in Face Anti-Spoofing. Olegs Nikisins, Amir Mohammadi, André Anjos ... This paper addresses a problem of face anti-spoofing as an anomaly detection task.
On Effectiveness of Anomaly Detection Approaches against Unseen Presentation Attacks in Face Anti-spoofing · Olegs Nikisins, A. Mohammadi, +1 author. S. Marcel ...
Therefore, a failure to generalize on unseen types of attacks is one of the main potential challenges in existing anti-spoofing approaches. First, to ...
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Sep 20, 2024 · We propose an innovative method that effectively captures both the deceptive and discriminative features distinguishing between genuine and spoofing faces.
On Effectiveness of Anomaly Detection Approaches against Unseen Presentation Attacks in Face Anti-spoofing. O. Nikisins, A. Mohammadi, A. Anjos, ...
This work builds upon an anomaly-based formulation of the problem and analyses the merits of deploying client-specific information for face spoofing detection.
This work studies the generalization issue of face anti-spoofing (FAS) models on domain gaps, such as image resolution, blurriness and sensor variations. Most ...
Oct 28, 2020 · Marcel, “On effectiveness of anomaly detection approaches against unseen presentation attacks in face anti-spoofing”, in Proc. ICB, 2018 ...
This paper adopts the anomaly detection approach proposed in [1], where the detector is trained on genuine accesses only using one-class classifiers and ...