1 code implementation • 16 Dec 2020 • Robert A. Bridges, Sean Oesch, Miki E. Verma, Michael D. Iannacone, Kelly M. T. Huffer, Brian Jewell, Jeff A. Nichols, Brian Weber, Justin M. Beaver, Jared M. Smith, Daniel Scofield, Craig Miles, Thomas Plummer, Mark Daniell, Anne M. Tall
In this paper, we present a scientific evaluation of four prominent malware detection tools to assist an organization with two primary questions: To what extent do ML-based tools accurately classify previously- and never-before-seen files?
no code implementations • 24 May 2018 • Robert A. Bridges, Maria A. Vincent, Kelly M. T. Huffer, John R. Goodall, Jessie D. Jamieson, Zachary Burch
Our hypothesis is that arming the analyst with easy-to-use data science tools will increase their work efficiency, provide them with the ability to resolve hypotheses with scientific inquiry of their data, and support their decisions with evidence over intuition.