O. A. Mohammed

Enhanced Detection OF Deepfakes Through Facial Expression Processing Using Deep Learning Networks

The approach begins with detecting the faces and then applying face alignment, crop, resizing, and normalization to guarantee consistency, and has proved to be quite efficient in deepfake detection, as the accuracy of the GRU model was the best, at 98%.