There have been a lot of positive. useful and sometimes amusing stories about various image AI & machine learning systems over the past couple of years. There have also been some that are either quite creepy or simply the stuff of nightmares. Whatever you use image recognition AI for, though, it seems it can be easily fooled, with a little bit of work.

A team at MIT’s Computer Science and Artificial Intelligence Laboratoy (CSAIL) these systems are even easier to fool than they thought. In a new paper, they’ve developed a system that is up to 1,000 times faster than existing methods. And it works with “black box” systems, too – these are closed source systems to which a hacker has no access to the code.

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