SoK: Explainable Machine Learning for Computer Security Applications. (arXiv:2208.10605v1 [cs.CR])

Explainable Artificial Intelligence (XAI) is a promising solution to improve
the transparency of machine learning (ML) pipelines. We systematize the
increasingly growing (but fragmented) microcosm of studies that develop and
utilize XAI methods for defensive and offensive cybersecurity tasks. We
identify 3 cybersecurity stakeholders, i.e., model users, designers, and
adversaries, that utilize XAI for 5 different objectives within an ML pipeline,
namely 1) XAI-enabled decision support, 2) applied XAI for security tasks, 3)
model verification via XAI, 4) explanation verification …

applications arxiv computer computer security explainable machine learning learning machine machine learning security