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Supporting AI/ML Security Workers through an Adversarial Techniques, Tools, and Common Knowledge (AI/ML ATT&CK) Framework

Cryptography and Security 2022-11-10 v1
Authors: Mohamad Fazelnia , Ahmet Okutan , Mehdi Mirakhorli
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Abstract

This paper focuses on supporting AI/ML Security Workers -- professionals involved in the development and deployment of secure AI-enabled software systems. It presents AI/ML Adversarial Techniques, Tools, and Common Knowledge (AI/ML ATT&CK) framework to enable AI/ML Security Workers intuitively to explore offensive and defensive tactics.

Keywords

ai safety multi-agent systems computer security

Cite

@article{arxiv.2211.05075,
  title  = {Supporting AI/ML Security Workers through an Adversarial Techniques, Tools, and Common Knowledge (AI/ML ATT&CK) Framework},
  author = {Mohamad Fazelnia and Ahmet Okutan and Mehdi Mirakhorli},
  journal= {arXiv preprint arXiv:2211.05075},
  year   = {2022}
}

Comments

AI/ML ATT&CK

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