ML Anthology

MLSMM: Machine Learning Security Maturity Model

Felix Viktor Jedrzejewski, Davide Fucci, Oleksandr Adamov
ICMLW 2023
/icmlw/2023/jedrzejewski2023icmlw-mlsmm/

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.

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Cite

Text

Jedrzejewski et al. "MLSMM: Machine Learning Security Maturity Model." ICML 2023 Workshops: AdvML-Frontiers, 2023.

Markdown

[Jedrzejewski et al. "MLSMM: Machine Learning Security Maturity Model." ICML 2023 Workshops: AdvML-Frontiers, 2023.](https://mlanthology.org/icmlw/2023/jedrzejewski2023icmlw-mlsmm/)

BibTeX

@inproceedings{jedrzejewski2023icmlw-mlsmm,
  title     = {{MLSMM: Machine Learning Security Maturity Model}},
  author    = {Jedrzejewski, Felix Viktor and Fucci, Davide and Adamov, Oleksandr},
  booktitle = {ICML 2023 Workshops: AdvML-Frontiers},
  year      = {2023},
  url       = {https://mlanthology.org/icmlw/2023/jedrzejewski2023icmlw-mlsmm/}
}