Abstract

This short paper presents what is currently the main challenge associated with using Generative Adversarial Networks (GANs) to generate visual media. That challenge is around automatically determining the authenticity of an image/video, which is of increasing importance as fake videos and images start to proliferate on social media, especially when associated with political campaigning. The paper introduces GANs, outlines how they are used to generate visual media and summarises this major challenge.