Ali-Fayzi/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.