Elevation of MLsec: a Security Card Game for Threat Modeling Machine Learning Systems

EasyChair Preprint 15301

Abstract

Machine learning based systems have gained a massive adoption the last few years. These systems bring with them inherent risks that should be mitigated with proactive security engineering. Threat modeling and risk analysis can play an important role in the efforts for securing machine learning. I propose Elevation of MLsec, which is a threat modeling card game targeting machine learning systems. This paper gives a brief overview of the the objectives, design considerations and testing experiences during the creation of the game.

Keyphrases: Security Engineering for Machine Learning, Threat Modeling, serious games

@booklet{EasyChair:15301,
  author    = {Elias Brattli Sørensen},
  title     = {Elevation of MLsec: a Security Card Game for Threat Modeling Machine Learning Systems},
  howpublished = {EasyChair Preprint 15301},
  year      = {EasyChair, 2024}}