![]() In 2018, Rana Ayyub, Indian investigative journalist was the target of online hate campaign stemming from her condemnation of the Indian government, specifically her speaking out against the rape of an eight-year-old Kashmiri girl. Johansson spoke publicly on the issue in December of 2018, condemning the practice but also refusing legal action because she views the harassment as inevitable. Since then, there have been numerous instances of similar deepfake content targeting other female celebrities, such as Emma Watson, Natalie Portman, and Scarlett Johansson. One of the earliest examples occurred in 2017 when a deepfake pornographic video of Gal Gadot was created by a Reddit user and quickly spread online. Notable Case ĭeepfake technology has been used to create non-consensual and pornographic images and videos of famous women. ![]() As of July 2020, it is estimated that approximately 24,000 manipulated images have been shared across the image sharing channels. While the total number of users is unknown, the main channel has over 45,000 members. The service is connected to seven Telegram channels, including the main channel that hosts the bot, technical support, and image sharing channels. The service is free and has a user-friendly interface, enabling users to submit photos and receive manipulated nude images within minutes. In July 2019 a deepfake bot service was launched on messaging app Telegram that uses AI technology to create nude images of women. The open-source version had the advantage of allowing to be trained on a larger dataset of nude images to increase the resulting nude image's accuracy level. On GitHub, the open-source version of this program called "open-deepnude" was deleted. On June 27, the creators removed the application and refunded consumers, although various copies of the app, both free and for charge, continue to exist. The app had both a paid and unpaid version, the paid version costing $50. In June 2019, a downloadable Windows and Linux application called DeepNude was released which used GAN to remove clothing from images of women. However, the production process has significantly evolved since 2018, with the advent of several public apps that have largely automated the process. The process began by gathering a large amount of source material (including both images and videos) of a person face, and then using a deep learning model to train a Generative Adversarial Network (GAN) to create a fake video that convincingly swaps the face of the source material onto the body of a porn performer. ĭeepfake porn was originally created on a small individual scale using a combination of machine learning algorithms, computer vision techniques, and AI software. It is a combination of the word “deep learning”, which refers to the program used to create the videos, and “fake” meaning the videos are not real. ![]() The term "deepfake'' was coined in 2017 on a Reddit forum where users shared altered pornographic videos created using machine learning algorithms. ![]() Efforts are being made to combat these ethical concerns through legislation and technology-based solutions. The use of deepfake porn has sparked controversy because it involves the making and sharing of realistic videos featuring non-consenting individuals, typically female celebrities, and is sometimes used for revenge porn. Type of synthetic porn by altering footage with deepfake technologyĭeepfake pornography, or simply fake pornography, is a type of synthetic porn that is created via altering already-existing pornographic material by applying deepfake technology to the faces of the actors. ![]()
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