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posted by janrinok on Wednesday January 10 2018, @04:34PM   Printer-friendly
from the do-you-see-what-I-see? dept.

Image recognition technology may be sophisticated, but it is also easily duped. Researchers have fooled algorithms into confusing two skiers for a dog, a baseball for espresso, and a turtle for a rifle. But a new method of deceiving the machines is simple and far-reaching, involving just a humble sticker.

Google researchers developed a psychedelic sticker that, when placed in an unrelated image, tricks deep learning systems into classifying the image as a toaster. According to a recently submitted research paper about the attack, this adversarial patch is "scene-independent," meaning someone could deploy it "without prior knowledge of the lighting conditions, camera angle, type of classifier being attacked, or even the other items within the scene." It's also easily accessible, given it can be shared and printed from the internet.


Original Submission

 
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  • (Score: 2) by TheRaven on Thursday January 11 2018, @11:04AM

    by TheRaven (270) on Thursday January 11 2018, @11:04AM (#620877) Journal
    Those obscure your face entirely, and look suspicious. The goal is to have something that is ignored by humans, but makes face recognition algorithms either not classify you as a thing with a face at all, or classify you as some innocuous face. Because most of these deep learning buzzwordy systems are correlation engines working on unknown parameters, it's often possible to alter something that they detect in such a way that you get a completely different result, with minimal changes to the input (last year there was a single-pixel change to an image that caused Google's system to recognise a car as a dog or vice versa, for example).
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