Question

Where is a perturbed input used?

A: When building a model
B: To increase public dataset awareness
C: To identify an error in a machine learning model
D: To observe differing outputs

Answer 1

A perturbed input is used to observe differing outputs in a machine learning model. It helps identify errors or vulnerabilities in the model.

Step-by-step explanation:

A perturbed input is used to observe differing outputs in a machine learning model.

When a perturbed input is given to a machine learning model, it is intentionally modified to see how the model reacts and whether the output changes. This can help identify errors or vulnerabilities in the model.

For example, if a machine learning model is trained to classify images of cats and dogs, a perturbed input could be an image of a cat with added noise or distortion. If the model suddenly classifies it as a dog, it indicates a potential issue with the model's robustness or generalization.