Question

An adversarial algorithm is _______________ to identify weaknesses in black box models

A: Given no data
B: Purposefully biased
C: Purposefully fair
D: Trained with large datasets

Answer 1

An adversarial algorithm is purposefully biased to identify weaknesses in black box models.

Step-by-step explanation:

An adversarial algorithm is purposefully biased to identify weaknesses in black box models.

Adversarial algorithms are designed to manipulate the input data in order to exploit vulnerabilities in machine learning models.

For example, in image recognition, an adversarial algorithm might add imperceptible noise to an image that causes the model to misclassify it.