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

October 2015 Poster
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


Software Engineering Institute


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.