It’s not hard to tell that the image below shows three different things: a bird, a dog, and a horse. But to a machine learning algorithm, all three might the same thing: a small white box with a black contour. This example portrays one of the dangerous characteristics of machine learning models, which can be exploited to force them into misclassifying data. (In reality, the box could be much smaller; I’ve enlarged it here for visibility.) This is an example of data poisoning, a special type of adversarial attack, a series of techniques that target the behavior of machine learning and deep…
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