Deep Fake Face Detection using Convolutional Neural Networks

More fake face image generators have emerged worldwide owing to the growth of Face Image Modification (FIM) tools like Face2Face and Deepfake, which pose a severe threat to public trust. Although there have been significant advancements in the identification of certain FIM, a reliable false face detector is still lacking. Convolutional Neural Network (CNN) tends to learn picture content representations because of the structure's relative stability. A deep fake face detection model is developed by analyzing the visual features in a face. By the use of deep learning techniques, a CNN model is developed to identify deep fakes.