Cheap, Easy Deepfakes Are Getting Closer to the Real Thing
4 years, 7 months ago

Cheap, Easy Deepfakes Are Getting Closer to the Real Thing

Wired  

There are many photos of Tom Hanks, but none like the images of the leading everyman shown at the Black Hat computer security conference Wednesday: They were made by machine-learning algorithms, not a camera. Philip Tully, a data scientist at security company FireEye, generated the hoax Hankses to test how easily open-source software from artificial intelligence labs could be adapted to misinformation campaigns. Seen at full resolution, FireEye’s fake Hanks images have flaws like unnatural neck folds and skin textures. Courtesy of FireEye By demonstrating just how cheaply and easily a person can generate passable fake photos, the FireEye project could add weight to concerns that online disinformation could be magnified by AI technology that generates passable images or speech.

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