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Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection

May 2021 Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean AAAI 2021
#Deep Learning #Malware

Most sequence models scale memory with sequence length — a problem when the sequence is a full PE binary. We present a constant-memory architecture that lets us train classifiers directly on whole binaries without truncation, and apply it to static malware detection.

AAAI 2021 · OJS