Which of the following is the BEST mitigation control for membership inference attacks on AI systems?

The correct answer is C. Differential privacy. Membership inference attacks attempt to determine whether a particular data point was part of a model's training set, which risks violating privacy. The AAISM study guide highlights differential privacy as the most effective mitigation because it introduces mathematical noise…

AI Security Design and Implementation

Question

Options

AModel ensemble techniques
BAI threat modeling
CDifferential privacy
DCybersecurity-oriented red teaming

How the community answered

(23 responses)

A
4% (1)
C
91% (21)
D
4% (1)

Explanation

Membership inference attacks attempt to determine whether a particular data point was part of a model's training set, which risks violating privacy. The AAISM study guide highlights differential privacy as the most effective mitigation because it introduces mathematical noise that obscures individual contributions without significantly degrading model performance. Ensemble methods improve robustness but do not specifically protect privacy. Threat modeling and red teaming help identify risks but are not direct controls. The explicit mitigation control aligned with privacy preservation for membership inference is differential privacy.

Topics

#Membership inference attacks#Differential privacy#AI privacy#Mitigation controls

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