English

MLSMM: Machine Learning Security Maturity Model

Software Engineering 2023-06-29 v1 Cryptography and Security Machine Learning

Abstract

Assessing the maturity of security practices during the development of Machine Learning (ML) based software components has not gotten as much attention as traditional software development. In this Blue Sky idea paper, we propose an initial Machine Learning Security Maturity Model (MLSMM) which organizes security practices along the ML-development lifecycle and, for each, establishes three levels of maturity. We envision MLSMM as a step towards closer collaboration between industry and academia.

Keywords

Cite

@article{arxiv.2306.16127,
  title  = {MLSMM: Machine Learning Security Maturity Model},
  author = {Felix Jedrzejewski and Davide Fucci and Oleksandr Adamov},
  journal= {arXiv preprint arXiv:2306.16127},
  year   = {2023}
}

Comments

Accepted at AdvML-Frontiers'23 as a Blue Sky Idea

R2 v1 2026-06-28T11:16:42.333Z