How DeepFakes AI Works?

The algorithms used in Deepfakes are based on artificial intelligence that is capable of masking the faces or manipulating the videos. It simply uses the GAN techniques that include both autoencoders and generators and learns from the given inputs, based on which the AI generates the output.

A report suggested that the total number of Deepfakes videos was 15,700 in 2019 which jumped over 85k by 2020 and crossed 100k by the end of 2021. Over time, technology has changed and improved the quality, but as per the experts, it will take years to achieve more accuracy.

What Are DeepFakes And How Dangerous Are They?

Did you hate the last season of Game of Thrones? Most probably! Did you also watch the online video of Jon Snow saying sorry for the horrible script of season 8? That video obviously wasn’t a real video as Jon Snow knows nothing! It was actually a fake but it looked so real. That’s because it was a DeepFake video made using Artificial Intelligence. Are you wondering what DeepFake is? Let’s check it out! DeepFake uses Deep Learning, a subset of Machine Learning, to create videos that look real but are actually fake. It is basically a technology that can replace the face of a person in an image or a video with so much precision that it looks real. Or it can make a person say something on a video that they never actually said in real life. “What you see is what you get” is no longer true on the internet because of DeepFakes. And that is how you can see Jon Snow blaming the last season of Game of Thrones when this never actually happened!

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How DeepFakes Are Made?

A neural network algorithm known as an autoencoder can be used for creating DeepFakes which attach a fake face to an original face. Suppose you want to attach the face of Jon Snow to Tyrion Lannister. To do that you take thousands of collected photos of both Jon and Tyrion and run them through a neural network called an encoder. This encoder will study the facial features in both faces and compress the images into the standard features they both have....

How DeepFakes Work?

As discussed above, Deepfakes replicate the data of faces and expressions which cannot be easily identified by a human eye. Whereas, GAN produces data that learns from deep learning and uses generators and discriminators....

How DeepFakes AI Works?

The algorithms used in Deepfakes are based on artificial intelligence that is capable of masking the faces or manipulating the videos. It simply uses the GAN techniques that include both autoencoders and generators and learns from the given inputs, based on which the AI generates the output....

How DeepFakes Pose a Cybersecurity Threat?

As we’re moving forward, technology is getting more advanced and is widely accessible in the entire world. Take the example of smartphones, from keypads to touchscreen and from passcode to face unlock, we’ve witnessed it all. Nobody has ever thought that a small video can create chaos if projected in the wrong way....

How Do You Do DeepFakes?

As discussed above, deepfakes run of neural network type (autoencoder) which decreases the image’s latent space and reconstructs it from the provided input. In this, the AI trains itself on how the manipulation has to be done and then copies the elements of the key features such as facial expressions, posture, etc. The processing is being done in frames for each element like talking, iris movement, body action, etc....

Is DeepFakes Dangerous?

DeepFakes are used for everything currently: the good, the bad, and the ugly. There are many videos created using DeepFake that are just for fun and not going to harm anybody. Jon Snow apologizing for Game of Thrones is one such example! DeepFakes have also been used in films. One example is when Harrison Ford’s young face was inserted onto Han Solo’s face in Solo: A Star Wars Story....

How Do You Spot a DeepFake?

Unless you are an Artificial Intelligence algorithm, it is very difficult to spot a DeepFake! However, you can still do it if you look closely as they are fake after all. The most common sign is that the ears, teeth, and eyes of the person do not match the face outline sometimes. Lip syncing in the video may also be wrong and it is very difficult to create individual strands of hair in DeepFakes. And if the face appears too smooth to be real, chances are it’s not real but a DeepFake....

What About Shallowfakes?

Shallowfakes are less like deep fakes that use video editing tools to manipulate the content and show what’s not real to the human eyes. It is often termed as dumbfake which means that any content that is manipulated without using any deep fake technology. While comparing the contents of deepfakes and shallow fakes, it is way easy to identify what’s real and what’s fake but it poses the same threat that can be caused using deepfakes technology....

Conclusion

It is believed that deep fakes can cause a severe threat to society due to their ability to create fake content. Certain government bodies have made laws to address such issues. As we’re moving ahead in technology, the technology is getting sharper and all we need is to make sure that we’re not using it against ethics....

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