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Outwitting image recognition

Researchers have shown that image-recognition systems can be fooled offline

machine learning
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Parmy Olson | WSJ
Last year, engineers at ZeroFOX, a security startup, noticed something odd about a fake social-media profile they’d found of a well-known public figure. Its profile photo had tiny white dots across the face, like a dusting of digital snow. The company’s engineers weren’t certain, but it looked like the dots were placed to trick a content filter, the kind used by social networks like Facebook to flag celebrity imitations.

They believed the photo was an example of a new kind of digital camouflage, in which a picture is altered in ways that leave it looking normal to the human eye but