David Trott

The growing abundance of high-quality data sets, combined with substantial technical developments, has advanced machine learning into a major tool that is employed in a broad array of applications, from cybersecurity to medical diagnosis. Despite the superhuman-like capabilities often ascribed to machine learning, though, it is vulnerable to a variety of manipulations and open to various attacks. For example, a simple rotation of an image can be enough to cause misclassification for an image classifier.

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