Scientists put machines on job to decide whether image is a fake or not

LONDON: Deepfakes are becoming more authentic owing to the interaction of two computer algorithms to create perfect 'fake' images and videos, and humans are simply unable to gauge which is real or not. Researchers now propose a new method called 'frequency analysis' that can efficiently expose fake images created by computer algorithms.

"In the era of fake news, it can be a problem if users don't have the ability to distinguish computer-generated images from originals," said Professor Thorsten Holz from the Chair for Systems Security at Ruhr-Universitat Bochum in Germany. Deepfake images are generated with the help of computer models, so-called Generative Adversarial Networks (GANs).

Two algorithms work together in these networks: the first algorithm creates random images based on certain input data. The second algorithm needs to decide whether the image is a fake or not. If the image is found to be a fake, the second algorithm gives the first algorithm the command to revise the image - until it no longer recognises it as a fake. (IANS)

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