Fake Image Detection Using Deep Learning

Abstract

With the rapid increase of deep learning technology, creating human face images with artificial intelligence (AI) is becoming easier. Those generated images are coming up to images that humans cannot distinguish from authentic ones. It is essential to realize an accurate method to detect such fake images to avoid abusing them. In this paper, we propose a fake image detection using an ensemble model of convolutional neural network (CNN) models that focus on deep fake detection of individual face parts. Our results show that a combination of deep fake detection based on different face parts is effective. This idea can be adopted on partially manipulated deep fake images/videos.