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Fake Tube Maßnahmen und Infos zu COVID-19

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Deepfakes refer to manipulated videos, or other digital representations produced by sophisticated artificial intelligence, that yield fabricated images and sounds that appear to be real.

Such videos are "becoming increasingly sophisticated and accessible," wrote John Villasenor, nonresident senior fellow of governance studies at the Center for Technology Innovation at Washington-based public policy organization, the Brookings Institution.

In fact, anybody who has a computer and access to the internet can technically produce deepfake content, said Villasenor, who is also a professor of electrical engineering at the University of California, Los Angeles.

The word deepfake combines the terms "deep learning" and "fake," and is a form of artificial intelligence. In simplistic terms, deepfakes are falsified videos made by means of deep learning, said Paul Barrett, adjunct professor of law at New York University.

Deep learning is "a subset of AI," and refers to arrangements of algorithms that can learn and make intelligent decisions on their own.

But the danger of that is "the technology can be used to make people believe something is real when it is not," said Peter Singer, cybersecurity and defense-focused strategist and senior fellow at New America think tank.

Villasenor told CNBC the technology "can be used to undermine the reputation of a political candidate by making the candidate appear to say or do things that never actually occurred.

A deep-learning system can produce a persuasive counterfeit by studying photographs and videos of a target person from multiple angles, and then mimicking its behavior and speech patterns.

Barrett explained that "once a preliminary fake has been produced, a method known as GANs, or generative adversarial networks, makes it more believable.

The GANs process seeks to detect flaws in the forgery, leading to improvements addressing the flaws. And after multiple rounds of detection and improvement, the deepfake video is completed, said the professor.

According to a MIT technology report, a device that enables deepfakes can be "a perfect weapon for purveyors of fake news who want to influence everything from stock prices to elections.

It's fast. As easy as sign in to your YouTube account and Get real subscribers to your YouTube channel in seconds! It's safe. Free All-In-One.

Subscribe me now. Jet All-In-One. Rocket All-In-One. Bronze All-In-One. Silver All-In-One. Gold All-In-One. See how his face matches the rest of the picture.

And note how precisely the human mouth moves to form sounds. Also note the high resolution in the real video.

The higher the resolution and quality of a video, the harder it is to fake it. But for now, it takes a lot of time and effort to make a convincing fake video of someone talking.

So the simpler and lower-quality the video, the higher the chance someone could convincingly fake it. BuzzFeed also recommends considering the source and seeing where the video has been covered online, which you should do with any rumor that seems too crazy to be true.

Be on your guard. He currently runs the scripted comedy podcast "Roommate From Hell.

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Deepfakes refer to manipulated videos, or other digital representations produced by sophisticated artificial intelligence, that yield fabricated images and sounds that appear to be real.

Such videos are "becoming increasingly sophisticated and accessible," wrote John Villasenor, nonresident senior fellow of governance studies at the Center for Technology Innovation at Washington-based public policy organization, the Brookings Institution.

In fact, anybody who has a computer and access to the internet can technically produce deepfake content, said Villasenor, who is also a professor of electrical engineering at the University of California, Los Angeles.

The word deepfake combines the terms "deep learning" and "fake," and is a form of artificial intelligence. In simplistic terms, deepfakes are falsified videos made by means of deep learning, said Paul Barrett, adjunct professor of law at New York University.

Deep learning is "a subset of AI," and refers to arrangements of algorithms that can learn and make intelligent decisions on their own. But the danger of that is "the technology can be used to make people believe something is real when it is not," said Peter Singer, cybersecurity and defense-focused strategist and senior fellow at New America think tank.

Villasenor told CNBC the technology "can be used to undermine the reputation of a political candidate by making the candidate appear to say or do things that never actually occurred.

A deep-learning system can produce a persuasive counterfeit by studying photographs and videos of a target person from multiple angles, and then mimicking its behavior and speech patterns.

Barrett explained that "once a preliminary fake has been produced, a method known as GANs, or generative adversarial networks, makes it more believable.

The GANs process seeks to detect flaws in the forgery, leading to improvements addressing the flaws. And after multiple rounds of detection and improvement, the deepfake video is completed, said the professor.

According to a MIT technology report, a device that enables deepfakes can be "a perfect weapon for purveyors of fake news who want to influence everything from stock prices to elections.

In fact, "AI tools are already being used to put pictures of other people's faces on the bodies of porn stars and put words in the mouths of politicians," wrote Martin Giles, San Francisco bureau chief of MIT Technology Review in a report.

While AI can be used to make deepfakes, it can also be used to detect them, Brookings' Villasenor wrote in February.

With the technology becoming accessible to any computer user, more and more researchers are focusing on deepfake detection and looking for a way of regulating it.

Large corporations such as Facebook and Microsoft have taken initiatives to detect and remove deepfake videos. The two companies announced earlier this year that they will be collaborating with top universities across the U.

But he said that detecting the "tells" is getting harder and harder as the deepfake technology becomes more advanced and videos look more realistic.

Even as the technology continues to evolve, Villasenor warned that detection techniques "often lag behind the most advanced creation methods.

Is their mouth moving independently of their face? So in different spots, Fake Obama looks oddly sharp or blurry or lit from odd angles.

Plus the outline of his jaw tends to flicker. Deepfake videos, video games, and movie special effects use similar technologies, so a deepfake will often resemble a game or movie.

BuzzFeed used a very similar video of Obama to build their fake one. See how his face matches the rest of the picture. And note how precisely the human mouth moves to form sounds.

Also note the high resolution in the real video. The higher the resolution and quality of a video, the harder it is to fake it. But for now, it takes a lot of time and effort to make a convincing fake video of someone talking.

So the simpler and lower-quality the video, the higher the chance someone could convincingly fake it. BuzzFeed also recommends considering the source and seeing where the video has been covered online, which you should do with any rumor that seems too crazy to be true.

Be on your guard.

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