It wasn't long ago that a person could cite a video recording as evidence that something occurred. However, that's not the case anymore due to the rise of deepfake video. Deepfakes are pictures, audio recordings or video footage that appear so real that there's no sign of inauthenticity.
It's easy to imagine how a person could use a deepfake to assert that a world leader or celebrity said something they didn't. Or, a disgruntled spouse could even create a deepfake video that apparently shows their partner in bed with someone else.
How is Deepfake Video Made?
Deepfake videos became possible due to machine learning models called "generative adversarial networks" (GANs). They work when a generator model trains on a data set and creates fake content.
Another so-called "discriminator model" tries to detect what's not real. The generative model learns from its own past attempts and uses them to create progressively more realistic content. The discriminator aims to identify what's new and what's part of the original training data. When it can no longer tell, the generator has successfully fooled the discriminator.
Why Are Deepfakes Dangerous?
Most of the known deepfakes created so far were done for research purposes or to show people what's possible and make them ...
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