AINeutralarXiv – CS AI · 7h ago6/10
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On the Study of Biometric Spoofing Detection using Deep Learning
Researchers evaluated deep learning models for detecting facial recognition spoofing attacks using the CelebA-Spoof dataset, finding MobileNetV2 most effective at 92% accuracy. The study highlights vulnerabilities in biometric security systems and identifies generalization challenges that require advances in domain adaptation to strengthen real-world deployment.