TagDeepfake detection methods
Are We Losing the Battle With Online Fraud via Deepfakes?
Now, the FBI warns, faked up “tech employees” are applying for remote work jobs with sensitive corporate dataFrom Gizmodo this week we learn that the FBI has received a number of complaints about people using “stolen information and deepfaked video and voice to apply to remote tech jobs”: According to the FBI’s announcement, more companies have been reporting people applying to jobs using video, images, or recordings that are manipulated to look and sound like somebody else. These fakers are also using personal identifiable information from other people—stolen identities—to apply to jobs at IT, programming, database, and software firms. The report noted that many of these open positions had access to sensitive customer or employee data, as well as financial and proprietary company info, implying the imposters could have a desire to steal sensitive information as well Read More ›
What Happened When a Deepfake Got Weaponized in the Ukraine War…
“Zelensky surrenders” wasn’t a world class effort so it got found out. But Nixon’s (fictional) eulogy for astronauts won awards…On March 16, Ukrainians were surprised by a video shared at Facebook and YouTube in which their president Volodymyr Zelensky told them to surrender to the invading Russians: A fake video emerged on Facebook and YouTube in which a strangely motionless version of Zelensky asked Ukrainian troops to lay down their weapons in a voice different from his usual tone. The clip was also posted to Telegram and Russian social network VKontakte, according to the US think tank the Atlantic Council. TV Channel Ukraine 24 said hackers defaced its website with a still from the video and inserted a summary of the fake news into a broadcast’s scrolling chyron. Minutes after the TV station posted about the hack, Zelensky himself Read More ›
Are Deepfakes Too Deep for Us? Or Can We Fight Back?
Keeping up with the fakers is becoming more of a challengeSince 2014, there has been a new twist to misrepresentation in politics: deepfakes—computer-generated images that seem quite real. Adam Garfinkle of Singapore’s Nanyang Technological University explains how the technology, generative adversarial networks (GANs), works: A GAN operator pits a generator (G) against a discriminator (D) in a gamelike environment in which G tries to fool D into incorrectly discriminating between fake and real data. The technology works by means of a series of incremental but rapid adjustments that allows D to discriminate data while G tries to fool it. Adam Garfinkle, ““Disinformed”” at Inference Review Once the problem is reduced to a giant calculation, a giant computer learns much more quickly than the rest of us. And it can then Read More ›