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Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security
Specifically, current datasets and representations used by ML are not suitable for learning the behaviors of an executable and differ significantly from those used by the InfoSec community.
Dynamic Analysis of Executables to Detect and Characterize Malware
It is needed to ensure the integrity of systems that process sensitive information and control many aspects of everyday life.
Neurogenesis Deep Learning
Neural machine learning methods, such as deep neural networks (DNN), have achieved remarkable success in a number of complex data processing tasks.
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