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On the stage of the 17th season of "America's Got Talent" , Daniel performed on Simon Cowell's face with amazing deepfake technology, which shocked the judges.


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Deepfake concept shows there’s more to deep learning (artificial intelligence). On the internet today, popular Celebrity deepfake examples have now shifted attention to the power of technology and its possible outcomes.
Deepfake has entered the mainstream media, taking strong effects in movies and social media short videos. The use may seem threatening, but it has captured the moments for pranks, comedy and general entertainment.
Without further ado, let’s hop on the basis of deepfake and some celebrity deepfake examples that could capture excitement and are leaving the entire world in an amusing state.
Celebrity deepfake is the manipulation of a celebrity's original act or facial appearance. It is not actually real, that's what makes it a celebrity deepfake.
Deepfake makes things look like it's original — swapping somebody’s face, changing their voices, body shapes and look.
In 1997, John Cage movie, Face off tricks called people’s attention in the movie industry. Even though they were mere film tricks then, they are now what we see as reality today.
That being said, Chris Ume is also well-known today for his deepfake projects. His deepfake projects had turned into a huge business. The aim of his metaphysics company is to create deepfakes of people, especially celebrities.
Usually, deepfake can transform videos, pictures, voices, and body shapes into an entirely different form. Therefore, celebrity deepfake could easily be done with their videos and photographs available online.
Hollywood and social media platforms have transposed real or fictional faces with other celebrities’. Some software and websites such as deepswap.ai have the tools to achieve comparable effects on people.
On TikTok, there’s a dedicated account created for Tom Cruise deepfakes. There are several videos of Cruise performing all kinds of tricks and acts . The resemblance, voice mimicking, and character show unimaginable deepfakes of the actor. @deeptomcruise on TikTok has a different advanced deepfake of this celebrity.
Ctrl Shift Face is one of the common deepfake creators on YouTube. He changed the role of Jack Nicholson in the 1980 thriller known as, “The Shining” to Jim Carrey’s. It’s hardly noticeable.
It is no longer new that movies now have remakes and reboots. Deepfake technology portrays actors’ roles and transforms them into something unique. It usually interchanges the role of one actor with another.
This deepfake shows the difference and similarities between celebrities that are amusing. DeepFaker changed the role of Lynda Carter into the '70s TV world of Gal Gadot's Wonder Woman – with amazing creativity.
This deepfake depicts Donald Trump introducing himself as James McGill in the breaking bad series.
This is a deepfake of Peele’s mouth over Obama’s. The footage covers several hours. It is typically the celebrities that fall prey to all the major deepfakes because their public profiles provide ample source material for AI to learn from.
Celebrity deepfake can create so many funny and threatening scenes intermittently. Deep learning (artificial intelligence) has the potential to transform the world generically without compromise.
Check out the online deepfake videos tool deepswap.ai if you would like to do some deepfakes of yourself or your best celebrities and ensure you do not misuse the technology.












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Celebrity deepfakes are all over TikTok. Here’s why they’re becoming common – and how you can spot them




Published: July 18, 2022 9.05pm BST

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Professor of Digital Communication, RMIT University

Rob Cover does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.
RMIT University provides funding as a strategic partner of The Conversation AU.
One of the world’s most popular social media platforms, TikTok, is now host to a steady stream of deepfake videos.
Deepfakes are videos in which a subject’s face or body has been digitally altered to make them look like someone else – usually a famous person.
One notable example is the @deeptomcriuse TikTok account, which has posted dozens of deepfake videos impersonating Tom Cruise, and attracted some 3.6 million followers.
In another example, Meta CEO Mark Zuckerberg seems to be confessing to conspiratorial data sharing. More recently there have been a number of silly videos featuring actors such as Robert Pattinson and Keanu Reeves .
Although deepfakes are often used creatively or for fun, they’re increasingly being deployed in disinformation campaigns, for identity fraud and to discredit public figures and celebrities.
And while the technology needed to make them is sophisticated, it’s becoming increasingly accessible, leaving detection software and regulation lagging behind.
One thing is for sure – deepfakes are here to stay. So what can we do about them?
The manipulation of text, images and footage has long been a bedrock of interactivity. And deepfakes are no exception; they’re the outcome of a deep-seated desire to participate in culture, storytelling, art and remixing .
The technology is used extensively in the digital arts and satire. It provides more refined (and cheaper) techniques for visual insertions, compared to green screens and computer-generated imagery.
Deepfake technology can also enable authentic-looking resurrections of deceased actors and historical re-enactments. They may even play a role in helping people grieve their deceased loved ones .
At the same time, deepfake technology is thought to present several social problems such as:
deepfakes being used as “proof” for other fake news and disinformation
deepfakes being used to discredit celebrities and others whose livelihood depends on sharing content while maintaining a reputation
difficulties providing verifiable footage for political communication, health messaging and electoral campaigns
people’s faces being used in deepfake pornography.
The last point is of particular concern. In 2019, deepfake detection software firm Deeptrace found 96% of 14,000 deepfakes were pornographic in nature. Free apps such as the now-defunct DeepNude 2.0 have been used to make clothed women appear nude in footage, often for revenge porn and blackmail.
In Australia, deepfake apps have even allowed perpetrators to circumvent “revenge porn” laws – an issue expected to soon become more severe.
Beyond this, deepfakes are also used in identity fraud and scams , particularly in the form of video messages from a trusted “colleague” or “relative” requesting a money transfer. One study found identity fraud using digital manipulation cost US financial institutions US$20 billion in 2020 ].
The creators of deepfakes stress the amount of time and effort it takes to make these video look realistic. Take Chris Ume, the visual effects and AI artist behind the @deeptomcruise TikTok account. When this account made headlines last year, Ume told The Verge “you can’t do it by just pressing a button”.
But there’s good evidence deepfakes are becoming easier to make. Researchers at the United Nation Global Pulse initiative have demonstrated how speeches can be realistically faked in just 13 minutes.
As more deepfake apps are developed, we can expect lesser-skilled people to increasingly produce authentic-looking deepfakes. Just think about how much photo editing has boomed in the past decade.
Legislation, regulation and detection software are struggling to keep up with advances in deepfake technology.
In 2019, Facebook came in for criticism for failing to remove a doctored video of American politician Nancy Pelosi, after it fell short of its definition of a deepfake.
In 2020, Twitter banned the sharing of synthetic media that may deceive, confuse or harm people (except where a label is applied). TikTok did the same. And YouTube banned deepfakes related to the 2020 US federal election.
But even if these are well-meaning policies, it’s unlikely platform moderators will be able to react to reports and remove deepfakes fast enough.
In Australia, lawyers at the NSW firm Ashurst have said existing copyright and defamation laws could fall short of protecting Australians against deepfakes.
And while attempts to develop laws have begun overseas, these are focused on political communication. For example, California has made it illegal to post or distribute digitally manipulated content of a candidate during an election – but has no protections for non-politicians or celebrities.
One of the best remedies against harmful deepfakes is for users to equip themselves with as many detection skills as they can.
Usually, the first sign of a deepfake is that something will feel “off”. If so, look more closely at the subject’s face and ask yourself:
is the face too smooth, or are there unusual cheekbone shadows?
do the eyelid and mouth movements seem disjointed, forced or otherwise unnatural?
does the hair look fake? Current deepfake technology struggles to maintain the original look of hair (especially facial hair).
ask yourself what the figure is saying or doing. Are they disavowing vaccines, or performing in a porn clip? Anything that seems out of character or contrary to public knowledge will be relevant here
search online for keywords about the video, or the person in it, as many suspicious deepfakes will have already been debunked
try to judge the reliability of the source – does it seem genuine? If you’re on a social media platform, is the poster’s account verified?
A lot of the above is basic digital literacy and requires exercising good judgment. Where common sense fails, there are some more in-depth ways to try to spot deepfakes. You can:
search for keywords used in the video to see if there’s a public transcript of what’s being said – outlets often cover quotes by high-profile politicians and celebrities within 72 hours
take a screenshot of the video playing and do a Google reverse image search . This can reveal whether an original version of the video exists, which you may then compare to the dubious one
run any suspicious videos featuring a “colleague” or “relative” by that individual directly.
Finally, if you do manage to spot a deepfake, don’t keep it to yourself. Always hit the report button.
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Copyright © 2010–2022, The Conversation


Deepfakes allow people to create a fake representation of our world. This could be even more dangerous than you think. | Image via Brida Staright | Pixabay
Deep Learning is getting so mature that now it can be used to “fake” many things. With it becoming so advanced, now our interpretation of reality could shift.
Last December, a Reddit user posted a porn video supposedly of Wonder Woman actress Gal Gadot.
The actress’s face was superimposed on the body of a porn star using AI, and apart from minor details that give it off, it was convincing.
Gadot’s fake clip helped raise awareness about the worrying rising trend of deepfake videos.
As is often the case with new technologies, some people find uses that we can’t always predict.
If you’re a fan of the Expanse book series, then Soren’s slimy attempt to use a deepfake against the magnanimous Bobbie Draper in Book Two might come to mind.
Combing the words “Deep Learning” and”Fake,” these celebrity fakes have become known as Deepfakes .
The same Reddit user who made Gal Gadot’s video uploaded other celebrity fakes of Taylor Swift and Maisie Williams.
Reddit and other social media platforms quickly banned deepfakes.
There are other non-porn deepfakes as well, like those featuring actor Nicolas Cage played for gags, or others showing politicians saying things they’re not supposed to say.
In recent months, the phenomenon of deepfakes has become widespread. Now, more users are making fake videos of anything they think would get hits.
With AI becoming more democratized and sophisticated, how trivial it would become to make deepfakes potentially harmful?
Another Redditor, clearly inspired by the first one, created a deepfake app to make it easy for anyone, with no background either in AI algorithms or in video editing, to make deepfakes using the footage and target of their choosing.
AI-assisted fakery is getting more and more accessible and convincing.
Of course, you’d expect the adult film industry to jump on the deepfake bandwagon.
Last August, a porn film company, called Naughty America , recently released a paying service that allows users to tweak porn videos to their liking. Customers can, for example, opt to use their own faces to superimpose onto the bodies of porn stars.
As if this wasn’t enough, researchers at Carnegie Mellon University also created their own AI-assisted fake videos.
CMU researchers developed a new AI algorithm, called GANs for Generative Adversarial Networks . GANs make it easy to copy the content of one image or video and apply it to the target video while keeping its original style.
In the video published by CMU below, John Oliver , the host of Last Week Tonight, had his facial expressions seamlessly modeled on those of Stephen Colbert , while retaining his style.
The CMU method could have many different applications. The film industry, autonomous cars, or robotics could all benefit from this technology. However, the developers are aware of the deepfake phenomenon and the dangers of it.
“It was an eye-opener to all of us in the field that such fakes would be created and have such an impact,” said Aayush Bansal, a Ph.D. student in CMU’s Robotics Institute. “Finding ways to detect them will be important in moving forward.”
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Trilingual poet, investigative journalist, and novelist. Zed loves tackling the big existential questions and all-things quantum.
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Jan 31 United States Deviant for 2 years They / Them
There are many ways to make deepfakes but this is what works for me. It's much simpler than it seems and literally anyone with an okay PC and will to experiment can do it. You'll need a desktop or a laptop, doesn't have to be amazing specs but if you have a decent gaming rig that would definitely help. DeepFaceLab is the way to go. It's way easier than I thought, that's for sure. These two videos were my very first and second tries. My advice is to search YouTube for celebrity interviews for movies, the kind where they're sitting in front of those basic backgrounds. The faces are usually in focus, have multiple angles and even lighting. I edit out any traces of other people to make it easier. It's best if the actress has her hair pulled back as it can interfere with the process. As for the video the face goes on to, make sure there isn't too much movement. That it's fairly high quality and the face is sort of similar. Don't be afraid to edit out the parts that glitch, that's
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You wouldn't be in for doing requests, would ya~? ;3c
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