MLSMM: Machine Learning Security Maturity Model

06/28/2023
by   Felix Jedrzejewski, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

research
02/04/2020

Adversarial Machine Learning – Industry Perspectives

Based on interviews with 28 organizations, we found that industry practi...
research
10/12/2019

Preliminary Systematic Literature Review of Machine Learning System Development Process

Previous machine learning (ML) system development research suggests that...
research
04/06/2023

SoK: Machine Learning for Continuous Integration

Continuous Integration (CI) has become a well-established software devel...
research
07/13/2020

Security and Machine Learning in the Real World

Machine learning (ML) models deployed in many safety- and business-criti...
research
01/10/2023

Studying Logging Practice in Machine Learning-based Applications

Logging is a common practice in traditional software development. Severa...
research
08/08/2023

A Dataset and Analysis of Open-Source Machine Learning Products

Machine learning (ML) components are increasingly incorporated into soft...
research
03/11/2020

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology

We propose a process model for the development of machine learning appli...

Please sign up or login with your details

Forgot password? Click here to reset