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Bedragare använde deepfake av kryptobörschef

Kryptobörsen Binances kommunikationschef Patrick Hillmann började plötsligt få meddelanden från olika personer som tackade honom för möten, där han ska ha diskuterat möjligheten att lista deras digitala tillgångar hos Binance. Problemet var bara att Hillmann inte haft några möten med personerna.

Nu hävdar Hillmann att det är bedragare som utgett sig för att vara honom genom att använda så kallade deepfakes, det vill säga AI-baserad teknik där man plockat upp hans utseende från tv-intervjuer och skapat en artificiell version av honom. Tekniken har därefter använts vid Zoommöten.

”Utöver att de sju kilo jag lade på mig under pandemin inte syns, så var dessa deepfakes tillräckligt raffinerade för att lura många mycket intelligenta människor” skriver Hillmann.

 
Binance
Wikipedia (en)
Binance is a cryptocurrency exchange which is the largest exchange in the world in terms of daily trading volume of cryptocurrencies. It was founded in 2017 and is registered in the Cayman Islands. Binance was founded by Changpeng Zhao, a developer who had previously created high frequency trading software. Binance was initially based in China, but later moved its headquarters out of China following the Chinese government's increasing regulation of cryptocurrency. In 2021, Binance was put under investigation by both the United States Department of Justice and Internal Revenue Service on allegations of money laundering and tax offenses. The UK's Financial Conduct Authority ordered Binance to stop all regulated activity in the United Kingdom in June 2021.In 2021, Binance shared client data, including names and addresses, with the Russian government.
 
Deepfake
Wikipedia (en)
Deepfakes (a portmanteau of "deep learning" and "fake") are synthetic media in which a person in an existing image or video is replaced with someone else's likeness. While the act of creating fake content is not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content that can more easily deceive. The main machine learning methods used to create deepfakes are based on deep learning and involve training generative neural network architectures, such as autoencoders, or generative adversarial networks (GANs).Deepfakes have garnered widespread attention for their uses in creating child sexual abuse material, celebrity pornographic videos, revenge porn, fake news, hoaxes, bullying, and financial fraud. This has elicited responses from both industry and government to detect and limit their use.
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