Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

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Human-Computer Decision Systems Poster (SEI 2015 Research Review)

  • October 2015
  • By Brian Lindauer
  • Describes work to use learning theory advances to account for persistent human expert teams and experiments to improve the human-computer decision syste
  • Publisher: Software Engineering Institute
  • Abstract

    Security decision systems aim to distinguish malicious activity from benign and often use a combination of human expert and automated analysis, including machine learning (ML). Systems using only human experts scale badly; pure ML systems are susceptible to structured attack by adversaries and, in most cases, have unsatisfactory performance on
    their own.

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SEI 2015 Research Review Artifacts