Search Results for author: Kelly M. T. Huffer

Found 2 papers, 1 papers with code

Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection

1 code implementation16 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?

Malware Detection

Forming IDEAS Interactive Data Exploration & Analysis System

no code implementations24 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.

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