by Andy Greenberg, Wired
In the burgeoning field of computer science known as machine learning, engineers often refer to the artificial intelligences they create as “black box” systems: Once a machine learning engine has been trained from a collection of example data to perform anything from facial recognition to malware detection, it can take in queries—Whose face is that? Is this app safe?—and spit out answers without anyone, not even its creators, fully understanding the mechanics of the decision-making inside that box. But researchers are increasingly proving that even when the inner workings of those machine learning engines are inscrutable, they aren’t exactly secret. In fact, they’ve found that the guts of those black boxes can be reverse-engineered and even fully reproduced—stolen, as one group of researchers puts it—with the very same methods used to create them.
https://www.wired.com/2016/09/how-to-steal-an-ai/
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