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Which attack manipulates ML model inputs to cause misclassification while appearing normal to humans?
- Data Poisoning
- Adversarial Examples
- Model Inversion
- Membership Inference
Answer: Adversarial Examples
Adversarial examples add imperceptible perturbations to inputs that cause ML models to misclassify. Critical vulnerability for computer vision, NLP systems requiring robust defenses.