101 citations · 197 across the 14 of their papers we have counts for
Showing 2019 · cs.CRShow all
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cs.CR2019★ 5 cited
Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection
Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin
Machine learning (ML) used for static portable executable (PE) malware detection typically employs per-file numerical feature vector representations as input with one or more targe…
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…