Samsung deepfake: i could have faked your video from one profile photoImagine a person creating a deepfake clip at hand by simply stealing your facebook page photo. Hackers didn't get hold of this technology, of course, but samsung figured out how to implement it. Software for making deepfakes - fabricated clips that force us to do or say something that we haven't done before - are sometimes necessary large image datasets to form a realistic fake. Now samsung has developed a new ai system that is able to create a fake video by submitting just one photo. This technology can naturally be found for relaxation, such as a portrait in reality. The mona lisa, which is only done as a single still image, is animated in 3 different clips to show the unusual way. Samsung's ai lab in the country developed the technology, which was exhaustively outlined in a paperwork earlier this week. Here's another side: these methods and rapid phone development also pose risks of misinformation, election fraud and fraud. According to honey farid, a dartmouth researcher specializing in media forensics for attesting to deepfakes. When even a crudely faked video of u.S. House speaker nancy pelosi goes viral on fb, vk, instagram deepfakes raise concerns, that their sophistication will make it easier to mass deceive, since deepfakes are harder to debunk. And create especially difficult and beautiful content,” farid said. Despite the fact that building a samsung may entail visual glitches, “the results obtained are an optimal difference in the life of the methods … Which lead to the organization of multimedia content that, in the end, will be indistinguishable from real life.” similar to photoshop for a movie on steroids, deepfake software creates fakes using machine-made strategies to convincingly create a moving talking person. While video review computer operations have been around for decades, deepfake systems have made it easier to create fake clips, but have also made them harder to detect. Think of them as photorealistic digital puppets. Many deepfakes, like the mona lisa animation, are harmless entertainment. Technology has made an entire genre of memes possible, even the one where nicolas cage's face is put in movies and tv shows where the building material wasn't involved. Into explicit porn videos, a way, it can sometimes also be used in intimate revenge. Deepfake videos usually require a considerable amount of image data to fabricate a fake video of someone, but the ai system developed by samsung , created a fake excerpt from a single picture. In their article, the samsung ai lab called their creations “realistic neural talking heads.” The term “talking heads” refers to the genre of porn that the system has the power to shape; it's like those specialist video boxes you see on tv news. The word “neural” is an homage to neural networks, a type of machine learning that mimics our memory. Researchers have learned that their discovery has applications in many applications, including video games, movies, and television. “This feature has practical applications for telepresence, including videoconferencing and online events, as well as the special effects industry,” they wrote. The presentation was accompanied by a video showcasing the team's creations. , Which of course was accompanied by a confusing soundtrack. Typically, a synthesized talking head requires you to train the ai system on a wide dataset of images of a particular citizen. . Because an unimaginable number of photos of a particular citizen were needed, the targets of deepfakes were usually public figures, including famous people and politicians. O preparation is a guarantee of a successful completion. The system starts with a lengthy “meta-learning phase” where it watches an incredible number of videos in order to clearly understand how human faces move. Then use the correct dug information to a predictable frame or a small number of images in order to accumulate a sufficiently realistic video clip. Unlike a real deepfake video, the results are obtained from the original or a small number of images. In the end, an invention of small details. For example, the fake marilyn monroe in the samsung lab demo missed the badge's famous mole.It also suggests that synthesized films tend to retain some semblance of those who played the role of a digital puppet, according to xiwei liu, a computer science professor at albany university in new york who specializes in media forensics and machine learning .That's why any of the mona lisa's moving faces imitate a slightly stranger. As a rule, the deepfake system is focused on removing these visual distortions. Everything that happens requires large amounts of training information, both for the input video, but as for the target person. The frame-count or single-frame aspect of this approach is useful, said lyu, since therefore the big internet is real to teach on a wide range of subjects, it takes a lot of time. According to the indicated words, such a system has the ability to quickly adapt to new products to the target person, using a few images without significant retraining. “It saves time of the year on the plan and makes this model versatile.” The rapid evolution of ai means that any time a researcher shares a breakthrough in deepfake finishing, attackers are hyped to assemble their own juror-rigged tools to simulate this. Samsung's methods may soon be able to fall into the hands of more consumers. Glitches in fake videos made through samsung's different approach are clear and obvious. 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