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VB2017 preview: Stuck between a ROC and a hard place

We preview the VB2017 paper by Microsoft's Holly Stewart and Joe Blackbird, which uses data about users switching anti-virus provider to decide whether machine-learning models should favour avoiding false positives over false negatives.
Authors of security software in general, and anti-virus software in particular, have always needed to find the right balance between a high detection rate and a low false positive…