
What is Deepfake?
Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else's likeness. While the act of faking content is not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content with a high potential to deceive. The main machine learning methods used to create deepfakes are based on deep learning and involve training generative neural network architectures, such as autoencoders or generative adversarial networks.
Deepfakes have garnered widespread attention for their uses in celebrity pornographic videos, revenge porn, fake news, hoaxes, and financial fraud. This has elicited responses from both industry and government to detect and limit their use.
Generative Adversarial Network (GAN)
The first AI called Generative Network, and the other called Discriminative Network.
(Generative network) Scan the copied body and target object
Generate a series of fake images
(Discriminative network) Verify the image
Delete the relatively fake image
Request it to regenerate the new image
Adjust the image details
