Dmitry Matskevich is a well-known entrepreneur in Russia, and is unlikely to get involved with scammers. These videos were probably created by scammers using deepfake.
Stay away from those offering quick earnings. If someone knows how you can increase your fortune by 360% annually, then he should keep this secret a secret, and not devalue it, attracting hundreds of new competitors.
Category: Security
AI is increasingly present in our daily lives. Technology companies use the vast amount of data available to them to make more accurate forecasts, track our requests, and offer new services. Since AI is already used around the world, the question arises , who is responsible for the decisions it makes?
This was told to journalists by a competitive intelligence expert, professor Yevgeny Yushchuk, giving a comment on the statement by the State Department of America about misinformation from the Russian Federation
If services rely on the use of voice commands over the phone, fraudsters can use the received samples to synthesize your voice and then attack such services. By the way, there are already enough neural networks capable of simulating a voice using samples
Don Foster, Vice President of Global Sales at Commvault, believes “Deep Fake technologies will drive the growth of the data integrity testing and verification market.”
In 2020, there are several new ways to cheat using generated data. To do this, scammers fake both voices and speech patterns. We have previously reported on one such method of persuading a fraudulent transfer. In another case, for the sake of persuasion, they faked the image of a plastic card to which they asked to transfer money
Yesterday everyone was talking about the danger of algorithms that generate fake images and voices. The possibility of using these algorithms for constructive purposes was discussed. But such algorithms are already yesterday. 2021 will be marked by the emergence of more dangerous algorithms: algorithms that understand the reason for certain actions and adapt to our psychological perception. Social engineering is automated and put on stream
Most of the deep-technology technology development companies are concentrated in the USA and China. “Vivid examples are ZAO (China), StyleGAN (USA)”, Deepfakes web to this series (Japan), AvengeThem (France) and DeepFaceLab (USA). Russia: Dowell (part of Everypixel Group), AvaTunes and Vera Voice
People now spend most of their lives on the Internet, which accumulates a huge amount of information, and their online activities can create and destroy a person’s reputation. Such an online information environment is ideal for engaging in artificial intelligence-based criminal activities
Ads with virtual models, digital TV presenters, and fake presidential speeches are the reality generated by machine learning algorithms. In 2020, artificial intelligence technologies will penetrate deeper into telecommunications, entertainment and form new markets. The development of deepfakes is closely watched by cybersecurity experts, investigating new forms of fraud using advanced technologies