What is Deepfake? And How to Deepfake a video?

Increasingly prominent importance has been paid to Deepfake technology recently. It has been getting increasingly easier to simulate reality using computers. In a deepfake, artificial intelligence replaces a person’s likeness with another and is recorded as a video. This is the latest innovation in computer imagery.

Films of the modern era are increasingly made with computer-generated sets, scenery, and characters instead of the appropriate props and locations that were once so common and are often virtually indistinguishable from reality.

On one hand, technological advancements do make life easier but if it is in the wrong hands, could be devasted too. For instance, there are many incidents when deepfake technology was used for misleading news and videos.

This article will not only talk about deepfake but it is a wholesome guide to learn everything about it. What is a deepkfake, how does it works, how you can create one, and how to detect a false deepfake video or audio?

What is a Deepfake?

‘Deepfake’ is based on deep learning technology, a type of artificial intelligence. When given large data sets, deep learning algorithms can learn how to solve problems by themselves, swapping faces in the video and digital content to create fake media that appears to be accurate.

How Does Deepfake Works?

Now, you have an idea, you must be itching your head that does a deepfake works or how to create one, right? Continue reading the article and it will help you learn about how Deepfake words too.

The autoencoder uses deep learning AI to study video clips to identify the individual’s physical characteristics from various angles and circumstances and map those characteristics onto the individual in the corresponding clip.

Many methods exist for creating deepfake videos, but the most widely used involves deep neural networks such as:

1. Autoencoders and Face-Swapping Methods

  • It is necessary to start with a target video and then to collect a collection of video clips of the person you wish to insert into the target video.
  • Here you can use unrelated videos as well as random clips of the person you want to include in the film.

2. Generative Adversarial Networks (GANs)

  1. GANs, a machine learning technology, detect and improve flaws in deepfakes with every round, so deepfake detection is more difficult.
  2. Another common use of GANs is for creating deep fakes, which make use of data analysis to “learn” how to design new examples that mimic the real thing with astonishing accuracy.

3. GitHub

There is a large amount of deepfake software and apps available on GitHub, an open-source community for software development.

There are apps for pure entertainment, which is why deepfake creation isn’t illegal, but there are also apps that are more likely to be maliciously used.

Many people think as technology continues to progress, deep fakes are likely to become increasingly dangerous to the public. Concerns include election interference, political tension, and additional criminal activity.

We have created a list of the 14 best Deepfake apps and websites that you can use to create deepfake pics or videos to have fun with friends and family.

If you are going to use such apps and software, please ensure that you use them only for fun or educational purposed and act as a responsible citizen.

Do you Know How Deepfakes are Used?

It is clear that automatic swapping of faces creates a plausible and realistic-looking video using apps and software, but it is a dangerous technology with some troubling implications. For instance, it was used to create a deepfake pornographic video for the first-ever use.

There are deepfake videos that do not threaten democracy on an existential level. Using deepfakes for comedic or satirical purposes is nothing new and of no harm when used for pure entertainment purposes and in the right way.

Now, let’s look at a few deepfaking videos for irrelevant purposes. Deepfakes were initially used to make synthetic pornography, one of the first real-world applications.

An anonymous Reddit user named “deepfakes” created a forum for porn featuring actors whose faces had been swapped in 2017. Since then, revenge porn has repeatedly made news, causing prominent figures and celebrities serious harm.

Political manipulation has also involved deepfake videos. Experts expect a surge of fake news that features convincingly realistic deepfakes in the future, as Deepfake creates misleading videos.

Is Deepfake Technology is Used to Create Audio Only?

The use of Deepfakes is not limited to only videos but also audio.  Despite its plethora of medical applications, deepfake audio plays a crucial role in computer game design and voice replacement.

The use of deep learning algorithms allows for creating realistic deepfakes within minutes or hours of recording the voice of the person whose voice is being cloned. Once one makes a voice model, the model can make that person sound any way they want.

So, yes, in brief, deepfake technology can be used to create fake audio as well.

How to Know a Deepfake?

What is your reaction to some news? You either believe it blindly, or you try to analyze it. Well, in an era when deepfakes are more prevalent, you may also have to adapt to spotting deepfake videos in the same way you can now spot other kinds of fake news. Deepfakes can be determined by a couple of characteristics:

1. Focus On the Skin or Hairs

See if the skin or hair on the face or the hair on the head and neck seems blurrier than the surroundings in which they’re positioned. This could be an indication of an unnaturally soft focus.

2. Focus on the Eye Movement

The people who produce deepfakes have trouble animating faces realistically, and this results in videos where the subject does not blink at all or blink far too often or unnaturally. A new version of deepfakes has been released that does not have this problem.

3. Try to Analyze the Audio

t might not seem like the audio matched the person, especially if the video was faked, but the audio was not as carefully altered. So mind the audio carefully.

4. Focus on the Lighting

Most deepfaking algorithms use the lighting from the clips as a template for the fake video, which is not reflective of the lighting in the target video.

Tools to Detect a Deepfake

As we all know, A.I. technology is improving with time so as deepfakes. You need to use your intelligence and guys while spotting a face video or audio. Some of the ways we discussed above too. However, several tech companies are in the process of developing methods to detect fake content whenever it appears. Two of these companies are:

1. Operation Minerva

This is a simple app that can help you detect deepfakes. Just run the video you think is fake and the app will compare it with the existing videos in the Operation Minvera catalog. In short, the algorithm can detect fake video if the original is already been “digitally fingerprinted” or in other words uploaded on the Internet.

Operation Minerva

1. Sensity

Sensity, on the other hand, is like an antivirus for deepfake videos, pics, or audio. You upload the file on their website and wait for some time so that Sensity detects the proprietary deepfake detection technology. After a small wait, Sensity will detect the manipulation in the media and alert you via email that they are watching fake content.

Sensity

And That is What All About Deepfakes

In many existing detection systems, artificial intelligence already assists in spotting fake videos, but its weaknesses are pronounced.

Although digital watermarks are not fool-proof, a blockchain-based online ledger system could store a tamper-proof record of videos, pictures, and audio files. It will allow their origins and manipulation to be verified at any point in time.

In the future, as deepfakes become more accessible, courts could find that faked events could be used as evidence, especially during custody battles and employment tribunals. Despite this, it is essential to remember that deepfakes are not always malicious.

Some deepfakes are entertaining, and some even act as guides. People suffering from diseases can have their voices restored with deepfakes using voice-cloning technology. Museums, galleries, and libraries can use deepfake videos to engage visitors.

Hopefully, you found this guide useful. Use the methods described above to deepfake a video and keep your motifs pristine!

Also, if you have a doubt about any content, you can use the tools we have mentioned to detect deepfake media.

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