AI0-001 AI Security, Ethics and Governance Practice Question
Which TWO of the following are effective defenses against adversarial examples in AI systems?
⚠ Common exam trap
The AI0-001 exam often tests the misconception that ensemble methods or model simplification inherently improve adversarial robustness, when in fact they do not address the fundamental mechanism of adversarial perturbations and may even weaken defenses.
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
✓
Train the model with adversarial examples (adversarial training)
Adversarial training (A) is effective because it exposes the model to perturbed inputs during training, forcing it to learn robust decision boundaries that are less sensitive to small, malicious perturbations. Input sanitization and feature squeezing (D) reduce the attack surface by compressing input features (e.g., reducing bit depth or spatial smoothing) to eliminate adversarial noise before inference, making it harder for an attacker to craft a successful perturbation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Train the model with adversarial examples (adversarial training)
Why this is correct
Adversarial training hardens the model against perturbations.
- ✗
Use an ensemble of models and majority voting
Why it's wrong here
Ensembles do not inherently protect against adversarial attacks.
- ✗
Increase the model's sensitivity to input changes
Why it's wrong here
Higher sensitivity increases vulnerability to perturbations.
- ✓
Implement input sanitization and feature squeezing
Why this is correct
Sanitization reduces the space for adversarial perturbations.
- ✗
Reduce model complexity through pruning
Why it's wrong here
Pruning may inadvertently remove robustness.
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.