ML model risks · Question 1 of 60
Which mitigation fits the risk "adversarial examples"?
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Answer
- D Adversarial testing
Explanation
Adversarial testing is the mitigation against adversarial examples. It also helps against a lack of robustness due to unexpected inputs, there together with fuzz testing.