ML model risks · Question 24 of 60
Which mitigations help against a lack of model robustness due to unexpected inputs?
2 answers are correct. Medium
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Answer
- C Adversarial testing
- D Fuzz testing
Explanation
Adversarial testing and fuzz testing help against a lack of AI robustness due to unexpected inputs. Both confront the model with unusual inputs.