Method for deepfake detection using convolutional neural networks

The article proposed the face anti-digital-spoofing countermeasures method for improving the protection of the facial biometric system. The DeepFake detection method is based on the convolutional neural networks, trained on a large dataset that contains different fake types with different qualities. This has resulted in at least 99% of detection quality. The suggested method can be used to increase the protection of facial biometric systems by reducing the risk of unauthorized access.