Are we protected against model sabotage?

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Security Category
Design PhaseInput PhaseModel PhaseOutput Phase
Are we protected against model sabotage?

Sabotaging the model is a nefarious threat that refers to exploitation or physical damage of libraries and machine learning platforms that host or supply AI/ML services and systems. Sources: ENISA

If you answered No then you are at risk

If you are not sure, then you might be at risk too

Recommendations

  • Implement security measures to protect your models against sabotage.
  • Assess the security profile of third party tooling and providers.
  • Consider implementing a disaster recovery plan with mitigation measures for this type of attack.

Interesting resources/references