Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection. (arXiv:2206.03265v1 [cs.CR])

Data augmentation has been rare in the cyber security domain due to technical
difficulties in altering data in a manner that is semantically consistent with
the original data. This shortfall is particularly onerous given the unique
difficulty of acquiring benign and malicious training data that runs into
copyright restrictions, and that institutions like banks and governments
receive targeted malware that will never exist in large quantities. We present
MARVOLO, a binary mutator that programmatically grows malware (and benign)
datasets in …

arxiv augmentation data detection malware ml programmatic