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The History & Definition Of Deepfake

What Is Deepfake?

Deepfake, a variation from “deep learning” and “fake”, is an artificial intelligenceArtificial intelligence Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Machine learning is a subset of Artificial Intelligence.-based human image synthesis technique. It is used to combine and superimpose existing images and videos onto source images or videos using a machine learningMachine learning Machine learning is a subset of artificial intelligence. Machine learning has the capacity to learn over time without being explicitly programmed. It can ingest a large amount of data and detect patterns and anomalies at scale. Supervised machine learning models are trained on a set of labels, while unsupervised machine learning does not require labeled data. technique called a “generative adversarial network” (GAN). The combination of the existing and source videos results in a fake video that shows a person or persons performing an action at an event that never occurred in reality.

Such fake videos can be created to, for example, show a person performing sex acts they never took part in or can be used to alter the words or gestures a politician uses to make it look like that person said something they never did. Because of these capabilities, deepfakes may be used to create fake celebrity pornographic videos or revenge porn. Deepfakes can also be used to create fake newsFake news Fake news is false or misleading information presented as news. It often has the aim of damaging the reputation of a person or entity, or making money through advertising revenue. However, the term does not have a fixed definition and has been applied more broadly to include any type of false information, including unintentional and unconscious mechanisms, and also by high-profile individuals to apply to any news unfavourable to his/her personal perspectives. and malicious hoaxes.

Deepfake Pornography

Deepfake pornography surfaced on the Internet in 2017, particularly on Reddit, and has been banned by sites including Reddit, Twitter, and Pornhub. In autumn 2017, an anonymous Reddit user under the pseudonym “Deepfakes” posted several porn videos on the Internet. The first one that captured attention was the Daisy Ridley deepfake. It was also one of the more known deepfake videos and a prominent feature in several articles. Another one was a Deepfake simulation of Wonder Woman actress Gal Gadot having sex with her step-brother, while others were of actresses like Emma Watson, Katy Perry, Taylor Swift or Scarlett Johansson. The scenes were not real, having been created with artificial intelligence. They were debunked a short time later.

As time went on, the Reddit community fixed many bugs in the faked videos, making it increasingly difficult to distinguish fake from true content. Non-pornographic photographs and videos of the actresses, which are readily available online, were used as training data for the software. The Deepfake phenomenon was first reported in December 2017 in the technical and scientific section of the magazine Vice, leading to its widespread reporting in other media.

Scarlet Johansson, a frequent subject of deepfake porn, spoke publicly about the subject to The Washington Post in December 2018. In a prepared statement, she expressed concern about the phenomenon, describing the internet as a “vast wormhole of darkness that eats itself.” However, she also stated that she won’t attempt to remove any of her deepfakes due to her belief that they don’t affect her public image and that differing laws across countries and the nature of internet culture make any attempt to remove the deepfakes “a lost cause”; she believes that while celebrities like herself are protected by their fame, deepfakes pose a grave threat to women of lesser prominence who could have their reputations damaged by depiction in involuntary pornography or revenge porn.

In the United Kingdom, producers of deepfake material can be prosecuted for harassment but there are calls to make Deepfake a specific crime;[13] in the United States, where charges as varied as identity theftIdentity Theft Identity theft is when someone uses another person's personal identifying information, without their permission, to commit fraud or other crimes. In both the U.K. and the United States it is the theft of personally identifiable information. Identity theft deliberately uses someone else's identity as a method to gain financial advantages or obtain credit and other benefits, and perhaps to cause other person's loss. The person whose identity has been stolen may suffer adverse consequences, especially if they are falsely held responsible for the perpetrator's actions. Personally identifiable information generally includes a person's name, date of birth, social security number, driver's license number, bank account or credit card numbers, PINs, electronic signatures, fingerprints, passwords, or any other information that can be used to access a person's financial resources., cyberstalking, and revenge porn have been pursued, the notion of a more comprehensive statute has also been explored.

Deepfake In Politics

Deepfakes have been used to misrepresent well-known politicians on video portals or chatrooms. For example, the face of the Argentine President Mauricio Macri was replaced by the face of Adolf Hitler, and Angela Merkel’s face was replaced with Donald Trump’s. In April 2018, Jordan Peele and Jonah Peretti created a deepfake using Barack Obama as a public service announcement about the danger of deepfakes. In January 2019, KCPQ aired a deepfake of Trump during his Oval Office address, mocking his appearance and skin color.

Deepfake Software

In January 2018, a desktop application called FakeApp was launched. The app allows users to easily create and share videos with faces swapped. The app uses an artificial neural network and the power of the graphics processor and three to four gigabytes of storage space to generate the fake video. For detailed information, the program needs a lot of visual material from the person to be inserted in order to learn which image aspects have to be exchanged, using the deep learning algorithm based on the video sequences and images.

The software uses the AI