Cyber News #9 - Exploring the Depths of Deepfake
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DeepFake, a term derived from “Deep Learning” and “Fake”, is an artificial intelligence technique that allows you to create fake videos and audios, in which it is possible to manipulate and replace faces, voices and even gestures of a person with others, in a different way, "almost" imperceptible way.
Technology has advanced to such an extent that the creation of these videos and audios, however they are, can deceive even the most experienced people, as they are extremely convincing.
How it works
The #DeepFake technique consists of deep learning algorithms, also known as artificial neural networks, that examine and learn from large amounts of data.
In simple terms, a deep learning model is trained on a set of images or videos originating from someone, and then uses those elements to produce a #digital representation of that person.
This digital representation can then be used to generate new media content, such as videos, where the original person is placed in different settings or situations, without ever having actually been there.
There are numerous ways to create DeepFakes, but one of the most common is the use of adversarial generative neural networks, called GANs. A GAN is based on two neural networks which are:
Both #networks work together to produce media content that is indistinguishable from legitimate content.
As much as DeepFake #technology has potential active uses, such as special effects for movies and videos, it is also used maliciously to spread false information and deceive anyone.
Some risks
While DeepFake has many positive applications such as creating entertainment or advertising content, it also poses a number of risks, such as:
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How to Protect Yourself
The creation and distribution of DeepFakes is illegal in some countries, especially in the matter of defamation, institutions and people harmed. The contents end up being used to spread disinformation, in addition to manipulated information and the damage is irreparable.
It's important to pay attention and know how to protect yourself. Below are the measures to be taken in this matter:
Possible Regulations
There are concerns about how technology can be regulated in order to protect the #integrity of information. Some of the possible forms of regulation include:
DeepFake regulation is an important and ever-evolving topic. It takes a collaborative effort by governments, institutions and researchers to protect the integrity of information and limit the misuse of this technology.
DeepFake expresses risks and challenges for #society. Therefore, measures must be imposed to limit their use in inappropriate ways, in addition to the development of effective detection tools for them to be recognized.
Extras
Below are some practically "perfect" DeepFake videos, if you didn't know about it, would you know if it's true or not?
DeepFake technology is a powerful tool that can be used for good or ill. Society must be prepared to deal with the consequences of its use and that measures are adopted to minimize risks and negative impacts.
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Cyber Security Engineer / Red Team at iFood
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