Researchers find a way to fool deep neural networks into 'recognizing' images that aren't there

A trio of researchers in the U.S. has found that deep neural networks (DNNs) can be tricked into "believing" an image it is analyzing is of something recognizable to humans when in fact it isn't. They have written a paper about what they have discovered and uploaded it to the preprint server arXiv.

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