Realistic Deepfakes in 5 Minutes on Colab

And why we should educate the public about the existence of such technology.

Ladies and gentlemen, Deepfake videos are so easy to create, that anyone can make one. You do not need a PhD, and you don’t have to train models for hours, you don’t even have to take a course on Generative Adversarial Network.

All that you have to do is, to record a video of yourself, and pick one photo of a person you want to impersonate. Machine learning will animate the person in the picture the way you want it in your video.

This is a snippet from an article by https://jinglescode.github.io/

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This Deepfake App Helps You Make Fun GIF Memes

Just when you thought the wave of deepfakes has come to an end, a new app is here to prove you wrong. Instead of creating offensive or explicit deepfakes, this app aims to use the technology on a lighter note by letting you put yourself into any GIF.

The app is named Doublicat and it uses RefaceAI, a Generative Adversarial Network (GAN) behind the scenes. If that sounds familiar, that’s because its the same AI technology Elon Musk used to morph him into Dwayne Johnson.

This is a snippet from an article by beebom, you can read the full article here…

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Reddit bans impersonation content, including deepfakes

Reddit updated its policies on Thursday to ban impersonation on its platform. The ban encompasses everything from deepfakes to individuals making false claims about their identities. 

In a post about the ban, a Reddit admin explains that even though instances of impersonation are rare, they pose a threat if people impersonate a journalist or a politician, or fake domains representing as something else. The post attributes the changes to ensuring “appropriate rules and processes” ahead of the 2020 election. 

This is a snippet from an article by digital trends, you can read the full article here…

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Facebook global policy chief says addressing manipulated videos is a top priority

Deepfakes and other manipulated videos put the integrity of democratic elections at risk, a group of experts told the House Committee on Energy and Commerce Wednesday. What to do about it is a thorny question.

A hearing, titled “Americans at Risk: Manipulation and Deception in the Digital Age” and held by the subcommittee on Consumer Protection, focused on the wide range of online fraud and manipulation on the internet. Monika Bickert, the vice president of Facebook global policy management, was joined by three other experts on the topic.

This is a snippet from an article by Cnet, you can read the full article here…

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Now fake Facebook accounts are using fake faces

Artificially-generated faces of people who don’t exist are being used to front fake Facebook (FB) accounts in an attempt to trick users and game the company’s systems, the social media network said Friday. Experts who reviewed the accounts say it is the first time they have seen fake images like this being used at scale as part of a single social media campaign.

The accounts, which were removed by Facebook on Friday, were part of a network that generally posted in support of President Trump and against the Chinese government, experts who reviewed the accounts said. Many of the accounts promoted links to a Facebook page and website called “The BL.” Facebook said the accounts were tied to the US-based Epoch Media Group, which owns The Epoch Times newspaper, a paper tied to the Falun Gong movement that is similarly pro-Trump.
This is a snippet from an article by cnn, read the full article here…
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China makes it a criminal offense to publish deepfakes or fake news without disclosure

China has released a new government policy designed to prevent the spread of fake news and misleading videos created using artificial intelligence, otherwise known as deepfakes.

The new rule, reported earlier today by Reuters, bans the publishing of false information or deepfakes online without proper disclosure that the post in question was created with AI or VR technology.

Failure to disclose this is now a criminal offence, the Chinese government says.

This is a snippet from an article by The Verge, you can read the full article here

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