2 citations · 3 across the 2 of their papers we have counts for
3 papers
Self-Updating Models with Error Remediation
Justin E. Doak, Michael R. Smith, Joey B. Ingram
Many environments currently employ machine learning models for data processing and analytics that were built using a limited number of training data points. Once deployed, the mode…
Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security
Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram +6
Despite the potential of Machine learning (ML) to learn the behavior of malware, detect novel malware samples, and significantly improve information security (InfoSec) we see few,…
Tracking Cyber Adversaries with Adaptive Indicators of Compromise
Justin E. Doak, Joe B. Ingram, Sam A. Mulder +6
A forensics investigation after a breach often uncovers network and host indicators of compromise (IOCs) that can be deployed to sensors to allow early detection of the adversary i…