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个人资料 :: ukigygoci
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等级: 新同学           初来入宝境 新到结奇缘 开眼拂真慧 立志入统元
注册时间:  27/05/2023 05:15:02
总发表数:  没有发表任何文章
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来自:  Светлогорск
个人网站:  http://ai-porn.click
职业:  Артист цирка
兴趣: лыжное двоеборье, оружие, изготовление украшений
自我介绍: People find ai-generated faces more reliable than real onesMemorial day flash sale! People find ai-generated faces more believable than real ones Viewers can barely tell images of complex, machine-generated faces of real people By emily willingham, lovers 2022 - أعرض هذا باللغة العربيةshare on facebook Share on twitter Share on reddit Share on linkedin Share via email Print When videos appeared on tiktok in 2021 that seemed to be shown as "tom cruise" disappears with the money and enjoys a lollipop. The account name was the only obvious sign that this was not a real deal. The creator of the "deeptomcruise" account on the internet used "deepfake" technology to show a machine-generated version of the famous actor performing magic tricks and dancing solo. Caused by the blank expression in the synthetic human's eyes. But the most compelling images take viewers out of the valley and into the abyss of deceit spread by deepfakes. Striking realism has implications for the misuse of technology: its potential use as a weapon, in disinformation campaigns for political or other gain , the creation of fake films for blackmail and every number of complex manipulations for permanent forms of abuse and fraud. The development of countermeasures to detect deepfakes has become an "arms race" between security agents on the one hand, and cybercriminals and cyberwarfare operatives on the other. A new study published in the proceedings of the national academy of sciences usa shows how far technology has come. The results show that real characters can easily fall in love with machine-generated faces and simply interpret them as being quite authentic than a genuine article. “We suddenly realized that not only are synthetic faces very realistic, but they are rightfully considered more reliable than real faces,” says study co-author hani farid, a professor at the university of california at berkeley. The result raises fears that such individuals can be very effective when exploited for nefarious purposes.” “We have really entered the world of dangerous deepfakes,” says piotr didyk, associate professor at the university of italian switzerland in lugano, who did not participate. The tools used to create still images of a study are already publicly available. And even though creating another such complex video is a more difficult task, materials for such a video are likely to become public soon, didyk argues. The synthetic faces for this study were created in a process of two-way partnership between two neural networks, ai porn generators - https://ai-porn.click - are examples of the type known as generative adversarial networks. One of the networks, called a generator, created an evolving series of synthetic faces, like a student gradually working on a rough sketch. Another network, known as the discriminator, trained on live images and then evaluated the generated result against information about real faces. The generator started the exercise with random pixels. Thanks to the callback with the discriminator, he constantly created more and more realistic human faces. Ultimately, the discriminator was unable to distinguish between a real face and a fake one. The networks were trained on an array of real images representing black, east asian, south asian, and pale-faced men and women. Of women, different from the more popular use of faces of white men in earlier studies. After matching 400 real faces with 400 synthetic versions, the researchers asked 315 people to distinguish real from fake faces among a range of 128 images . Another group of 219 participants went in, so they were rewarded with feedback on how to recognize fakes when they tried to distinguish faces. Finally, the third group of 223 participants rated the reliability of selected images from 128 on a scale from one (very unreliable) to seven (very reliable). Coins, with an average accuracy of 48.2 percent. The second group did not show a dramatic improvement, getting only about 59 percent, even with the calculation of responses about the choice of these participants.The group credibility rating gave the synthetic faces an average rating slightly higher than 4.82, compared to four.48 for real people. The researchers did not expect these heights. “At first, we said more than once that artificial faces are less credible than real ones,” says study co-author sophie nightingale. The idea of ​​an uncanny valley is certainly not outdated. Forgeries as forgeries. "People aren't convinced that any valid generated image is indistinguishable from a real jaw, but a huge number of them are," says nightingale. This discovery heightens concerns about the availability of technology. This gives us the ability to uniquely anyone to create deceptive still images. “Anyone can create synthetic content without specific photoshop or cgi skills,” says nightingale. Another concern is that such treatment outcomes would create the impression that deepfakes would be entirely undetectable, says wael abd-almagid, founding director of the visual mind and multimedia analytics laboratory at the institute of southern california, who was impossibly involved in the study. He worries that doctors want to dispense with trying to develop anti-deepfakes, though he thinks that keeping their detection in step with their growing realism is “just another forensic problem.” “A conversation that no one in this research community is going far enough to start actively improving these detection tools,” says sam gregory, director of software release and innovation at witness, an advocacy organization that focuses in part on ways to distinguish between deepfakes. Building evidence equipment is important because people tend to overestimate their ability to detect forgeries, he says, and "the public should always be aware when they are being used maliciously." Gregory, who no one can take part in the study, indicates that such authors directly address these issues. They provide three possible solutions, in particular the creation of durable watermarks for these generated images, “for example, embedding “fingers”, so that you can see how they are received at the end of the generative process,” he says. The authors of the study end with a harsh conclusion, emphasizing that the misleading use of deepfakes will continue to pose a threat: “we therefore urge the people who develop these technologies to consider whether the associated these risks are their advantages,” they write. “If this is about you, then we do not encourage the improvement of technology easily, because it is possible.” Look further About the authors </>Emily willingham is a science writer and author based in texas. Her latest book is the tailored brain (basic books, 2021). Latest articles by emily willingham Ai wins in go inspire people to play betterthe linguistics of swearing explains why we replace "hell" with "hell"how to get vaccinated against disinformation campaigns in the medium termread more What is machine training and what it works job? Here's a quick video tutorial Michael tubb, jeffrey delvishio and andrea gavrilevski Nixon's deepfake, it's about the moon crash and the information ecosystem is under threat Geoffrey delvishio Why are deepfakes so effective? Martijn russer Clicks, lies and videotapes Brooke borel Newsletter Get smarter. Subscribe to our email newsletters. Support science journalism Discover science that changes the world. Explore our digital repository since 1845, including articles from over 150 nobel laureates. Follow us Instagramsoundcloudyoutubetwitterfacebookrssscientific american arabic Return & refund policyabout uspress center Faqcontact ussitemap Advertisementsa custom mediaterms of use Privacy policyyour team usa anonymity documentyour privacy options/cookie managementinternational editions © 2023 scientific american, a division of springer nature america, inc. All rights reserved. Support science journalism. Thank you for reading scientific american. Knowledge awaits. Already a subscriber? 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