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AI & Machine Learning · Intermediate

Adversarial Example

An input deliberately perturbed, often imperceptibly, to cause a model to make a wrong prediction.

Definition

Evasion attacks craft adversarial examples such as altered pixels or stickers that fool image classifiers. Defenses include adversarial training, input preprocessing and robustness testing.

Exam tip

Adversarial examples are evasion attacks at inference time; poisoning happens at training time.

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