AAISM AI Technologies And Controls Practice Question
You are using the Adversarial Robustness Toolbox (ART) to assess a classifier. Which attack technique would you simulate to test the model's vulnerability to 'Evasion' attacks?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
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Fast Gradient Sign Method (FGSM)
The Fast Gradient Sign Method (FGSM) is a classic white-box attack technique used to test evasion vulnerability by introducing imperceptible noise.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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Fast Gradient Sign Method (FGSM)
Why this is correct
FGSM is a standard evasion attack technique for testing classifier robustness.
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Membership Inference
Why it's wrong here
Membership inference checks if data was used in training.
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Model Inversion
Why it's wrong here
Model inversion is for data extraction, not evasion.
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Data Poisoning via label flipping
Why it's wrong here
This is a training-time attack, not an evasion attack.
About these practice questions
One of 205 original AAISM practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official ISACA exam blueprint
This AAISM practice question is part of Courseiva's free ISACA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AAISM exam.