Deepfakes leverage powerful techniques from machine learning and artificial intelligence to generate visual and audio content with a such a high degree of realism that it has enormous potential to deceive.
This article in Medium explores efforts into research and development into creating countermeasures to such bogus content.
Within recent months, a number of mitigation mechanisms have been proposed and cited with the use of Neural Networks and Artificial Intelligence being at the heart of them. From this, we can distinguish that a proposal for technologies that can automatically detect and assess the integrity of visual media is therefore indispensable and in great need if we wish to fight back against adversarial attacks. (Nguyen, 2019)