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 ›
