Photo manipulation was developed in the 19th century and soon applied to motion pictures. įrom traditional entertainment to gaming, deepfake technology has evolved to be increasingly convincing and available to the public, allowing the disruption of the entertainment and media industries. This has elicited responses from both industry and government to detect and limit their use. ĭeepfakes have garnered widespread attention for their potential use in creating child sexual abuse material, celebrity pornographic videos, revenge porn, fake news, hoaxes, bullying, and financial fraud. 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 (GANs). While the act of creating fake content is not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content that can more easily deceive. Deepfakes ( portmanteau of " deep learning" and "fake" ) are synthetic media that have been digitally manipulated to replace one person's likeness convincingly with that of another.
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