MLSMM: Machine Learning Security Maturity Model

Authors: Felix Jedrzejewski, Davide Fucci, Oleksandr Adamov
Published: 2023-06-28

Source: https://arxiv.org/abs/2306.16127

PDF: https://arxiv.org/pdf/2306.16127

Labels Predicted by AI

セキュリティラベル AIコンプライアンス 脅威モデリング

Please note that these labels were automatically added by AI. Therefore, they may not be entirely accurate.
For more details, please see the About the Literature Database page.

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.