anti-spoofing. Anti-spoofing with deep learning is a technique that uses convolutional neural networks (CNNs) to prevent unauthorized access by malicious actors who impersonate legitimate users, particularly in image-based data such as facial recognition. These networks are trained to recognize specific features of biometric data that indicate authenticity.

github.com/Ali-Fayzi/anti-spoofing

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