PhD dissertation in computer science exposes deepfake videos using deep learning

I defended a PhD thesis in the Department of Computer Science at the University of Technology tagged

Detecting deep fake videos using deep learning.

The thesis submitted by the student Weldan Jamil Hadi aimed to build a system that has the ability to detect fake video, as the proposed model seeks to detect deep fake videos, and it consists of two methods; The first method is based on deep learning, in which three neural network (CNN) models are proposed for deepfake detection.

The conclusions reached by the researcher showed that very good results were obtained in detecting counterfeiting efficiently and with a very small error rate.