Last December, Reddit user named "deepfakes" posted pornographic video by superimposing Gal Gadot's animated face image on a porn star. In the video, Gadot's face does not blink, but it is a fairly convincing fake. It brought a short but very pre-open amateur graphic artist Troll blitz and posted a face exchange video online.
Now almost everyone can join anything - and there is no clear solution to the serious consequences of it.
Reddit, Twitter, and other websites prohibit these 'unwilling' porn videos. But as they appeared, the "deeply forged" video is still more humorous on mainstream websites. For example, the face release of Nicolas Cage is particularly popular.
Celebrities and celebrities focus on the meaning of this technology, but its roots are not in the dark of the Internet.
Last week in Vancouver, the world of computer generated graphics companies gathered at the SIGGRAPH conference and discussed their transactions. This is an annual conference, a leading computing giant, Google and Adobe and other computing giants, as well as a major computer science research institute introducing their latest research results.
Researchers at the Technical University of Munich and colleagues at Stanford University have published research to make deep drilling more sophisticated. Although their work is very attractive, no one can get a satisfactory answer as viewers ask how these replicas plan to face the moral effects of simple fake video. The researchers seemed to have thought about how the technology developed by them was misused.
The US government considers this a problem. This year, DARPA will spend more than 28 million dollars to develop a way to detect and debug deep video. However, even if DARPA helped fund the technology that can detect fake video, it does not mean that people can not quickly create and distribute it.
Another big blow on the Internet today is the current trend of deep fake. Deepfakes is a fake porn video produced by artificial intelligence, and the face of porn star is exchanged with anyone (http://bit.do/df13). Deep fake usually replaces celebrity's face with erotic performers but people use them to make fake porn for their friends and classmates (http://bit.do/df11) . This is very worrying as people can use it as extortion mail. On social platforms where machine learning and continuous improvement of artificial intelligence and information dissemination can be promptly disseminated, it is often not possible to distinguish fake information from actual information. What I am paying attention to is that people do not know this question at all.
Autumn of 2017, an anonymous Reddit user named "Deepfakes" posted some porn videos on the Internet. It is Daisy Ridley 's deepfake that draws attention first. It is also one of the well-known detailed videos and is one of the prominent features of some articles. The other is an actress like Emma Watson, Katie Perry, Taylor Swift, or Scarlet Johansson, while the other is a miracle actress Deep Fake, Gal Gado who has sex with her stepfather. These scenes are not genuine, they are created using artificial intelligence. They were exposed in a short period of time. Over time, the Reddit community has modified many of the pseudo video pitfalls, making it increasingly difficult to distinguish between fake and actual content. As software training data, Reddit users used sex movies and the record of each actress.
Making celebrity porn photos is not new. However, at the end of 2017, Reddit 's Deepfakes began applying deep learning to create celebrity counterfeit video. This opens a new wave of fake video online. As a member of the US military, DARPA also funds research to discover fake videos. In fact, the application of AI to create videos before Deepfakes starts. Face 2 Face and UW 's Synthetic Obama (Synchronized from Lips of Voice Learning) created a fake video that is hard to find. In fact, they are so authentic, Jordan Peel has created a warning to the following general