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Found 4 papers, 3 papers with code
On Disentangling Spoof Trace for Generic Face Anti-Spoofing
Prior studies show that the key to face anti-spoofing lies in the subtle image pattern, termed "spoof trace", e. g., color distortion, 3D mask edge, Moire pattern, and many others.
Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing
Using printed photograph and replaying videos of biometric modalities, such as iris, fingerprint and face, are common attacks to fool the recognition systems for granting access as the genuine user.
On the Detection of Digital Face Manipulation
Instead of simply using multi-task learning to simultaneously detect manipulated images and predict the manipulated mask (regions), we propose to utilize an attention mechanism to process and improve the feature maps for the classification task.
Deep Tree Learning for Zero-shot Face Anti-Spoofing
We define the detection of unknown spoof attacks as Zero-Shot Face Anti-spoofing (ZSFA).
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