Deepfake is a type of artificial intelligence created by combining the phrases deep learning and fake that facilitates in developing videos that have been fabricated via using deep learning techniques. It is a subset of AI that refers to algorithms that can learn and make intelligent judgments without human intervention. A deep-learning system can create convincing impersonations by examining images and videos of a target person from various perspectives and then copying their behavior and voice patterns. Once a prototype fake has been created, GANs (Generative Adversarial Networks) are used to make it more credible. The GANs method aims to find faults in the system and make adjustments to fix them.

How can you stay away from deepfake videos?

1. Deepfake videos are much simpler to spot than deepfake photographs. And you may accomplish so with the assistance of two factors. When a deepfake video of a person is created, for example, there is little difference between the person and the backdrop. However, you may spot a false video if the attention is solely on the face in the video and the surrounding is purposefully obscured.
2. Deepfake can be easily avoided by restricting personal images on social media and avoiding close-up photos of your face as much as possible.
3. Advanced artificial intelligence algorithms are under development which can swiftly identify deepfake videos thereby preventing people from falling prey to fake news and fake films.

When and where did deepfake start?

Deep Fake was a user on Reddit in 2017 who began employing face modification technology for pornography. It was from here that the term Deepfake was coined, and videos like this were known as Deepfake Videos. 

Deepfake as a boon to technology

MyHeritage, a software program, has been in the headlines for transforming any image into a 10-second movie. With this app, you may also breathe new life into old images using this program. With the use of this program, images of prominent personalities from past were transformed into movies. And these films show that if Artificial Intelligence is applied correctly, this approach may be beneficial to humans.

Deepfake as a threat to humanity

A.  Deepfakes were used to subvert democracy in the United States 

Facebook decided to prohibit the use of deep fakes after fake videos of politicians began spreading on social media. They allowed a few loopholes, such as the ability to keep sarcastic films and photos, but distinguishing between satire and agenda-driven content is difficult.

B.  Deepfakes began to be exploited by internet predators 

People began leveraging the ability to substitute anyone's face in an image or video to make pornographic content without their consent. As the deep fake technology allows them to do so by replacing face and expressions; all cybercriminals need is a profile photograph on social media to produce fake material to produce fake videos.

C.  Deepfake to tarnishing reputation of individuals 

A Pennsylvania mom, for example, was prosecuted for harassing cheerleaders at her daughter's school by employing deep fakes. The mother used manipulated recordings to carry out a cyberbullying campaign against girls she viewed as competitors to her daughter.

Deepfakes still continues pushing the digital media envelope where researchers suggest using NFTs (Non-Fungible Tokens) is the most effective strategy to combat deep fake. But NFTs, on the other hand, are still far away from being the standard on blockchains like Ethereum.

To know more about various cyber threats and methods to prevent them, contact Centex Technologies at (972) 375-9654.