Mar 14
Technologists like to put machine learning on a pedestal, exalting its ability to complement and even exceed human labor, but these systems are far from perfect. In fact, they are still tremendously vulnerable to self-owns. A research paper from January details how just how easy it is to trick an image recognition…
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