110 citations · 280 across the 12 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.CR2019★ 8 cited
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation
Ethan M. Rudd, Felipe N. Ducau, Cody Wild +2
Malware detection is a popular application of Machine Learning for Information Security (ML-Sec), in which an ML classifier is trained to predict whether a given file is malware or…
cs.CR2019★ 29 cited
Statistical Models for the Number of Successful Cyber Intrusions
Nandi O. Leslie, Richard E. Harang, Lawrence P. Knachel +1
We propose several generalized linear models (GLMs) to predict the number of successful cyber intrusions (or "intrusions") into an organization's computer network, where the rate a…