SCARS™ Insight: DeepFake And The Frightening New World Online

Last Updated on by SCARS Editorial Team

SCARSSCARS SCARS - Society of Citizens Against Relationship Scams Inc. A government registered crime victims' assistance & crime prevention nonprofit organization based in Miami, Florida, U.S.A. SCARS supports the victims of scams worldwide and through its partners in more than 60 countries around the world. Incorporated in 2015, its team has 30 years of continuous experience educating and supporting scam victims. Visit www.AgainstScams.org to learn more about SCARS.™ Insight: DeepFake And The Frightening New World Online

Most People Have No Idea What Is Coming!

Much Less How This Works – It Is Almost Magic!

But the truth is that it is science, and while it is not understandable by those that lack a STEM education, it can be explained.

According to LyrnAI:

The process is based upon what is called “Generative Adversarial Networks” (GAN) which is a relatively new concept in Machine LearningMachine learning Machine learning is a subset of artificial intelligence. Machine learning has the capacity to learn over time without being explicitly programmed. It can ingest a large amount of data and detect patterns and anomalies at scale. Supervised machine learning models are trained on a set of labels, while unsupervised machine learning does not require labeled data., introduced for the first time in 2014.

The goal of GAN is to synthesize artificial samples, such as images, that are indistinguishable from authentic images.

A common example of a GAN application is to generate artificial face images by learning from a dataset of celebrity faces.

While GAN images became more realistic over time, one of their main challenges is controlling their output, i.e. changing specific features such pose, face shape and hair style in an image of a face.

However, these limitations, like all weaponized technology will become easier, faster, and more precise as time goes by. Soon we will never know who is on the screen. Will it be real, a synthesized face from a real person, or an artificial powered by an AIAI Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Machine learning is a subset of Artificial Intelligence..

This technology will completely change the face of everything from Politics, to the Evening News, to Personal Communications, to ImpersonationImpersonation An impersonator is someone who imitates or copies the behavior or actions of another. There are many reasons for impersonating someone, such as: part of a criminal act such as identity theft, online impersonation scam, or other fraud. This is usually where the criminal is trying to assume the identity of another, in order to commit fraud, such as accessing confidential information or to gain property not belonging to them. Also known as social engineering and impostors. ScamsScams A Scam is a confidence trick - a crime -  is an attempt to defraud a person or group after first gaining their trust through deception. Scams or confidence tricks exploit victims using their credulity, naïveté, compassion, vanity, irresponsibility, or greed and exploiting that. Researchers have defined confidence tricks as "a distinctive species of fraudulent conduct ... intending to further voluntary exchanges that are not mutually beneficial", as they "benefit con operators ('con men' - criminals) at the expense of their victims (the 'marks')". A scam is a crime even if no money was lost.. The gains made against transnational scamming will be lost because of this. Worst still is that scamming will move from being a person (human) to person crime to one that can all be done inside a server powered by AI.

This just further addresses the futility of trying to post photos of scammers (exposing them), since in the near future each one will be uniquely synthesized from different people.

Here Is A Very Detailed Explanation Of How All Of This Works:

[contentcards url=”https://www.lyrn.ai/2018/12/26/a-style-based-generator-architecture-for-generative-adversarial-networks/” target=”_blank”]

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TAGS: SCARS, Future Of Scams, DeepFake, GAN, Generative Adversarial Networks, Machine Learning, Fake Faces,

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FIND MORE SCAMScam A Scam is a confidence trick - a crime -  is an attempt to defraud a person or group after first gaining their trust through deception. Scams or confidence tricks exploit victims using their credulity, naïveté, compassion, vanity, irresponsibility, or greed and exploiting that. Researchers have defined confidence tricks as "a distinctive species of fraudulent conduct ... intending to further voluntary exchanges that are not mutually beneficial", as they "benefit con operators ('con men' - criminals) at the expense of their victims (the 'marks')". A scam is a crime even if no money was lost. NEWS
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It is essential that law enforcement knows about scams & scammers, even though there is nothing (in most cases) that they can do.

Always report scams involving money lost or where you received money to:

  1. Local Police – ask them to take an “informational” police report – say you need it for your insurance
  2. Your National Police or FBIFBI FBI - Federal Bureau of Investigation The Federal Bureau of Investigation (FBI) is the domestic intelligence and security service of the United States and its principal federal law enforcement agency. Operating under the jurisdiction of the United States Department of Justice, the FBI is also a member of the U.S. Intelligence Community and reports to both the Attorney General and the Director of National Intelligence. A leading U.S. counter-terrorism, counterintelligence, and criminal investigative organization, the FBI has jurisdiction over violations of more than 200 categories of federal crimes, including financial fraud. « www.IC3.gov »
  3. The SCARS|CDN™ Cybercriminal Data Network – Worldwide Reporting Network « HERE » or on « www.Anyscam.com »

This helps your government understand the problem, and allows law enforcement to add scammers on watch lists worldwide.


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