What are adversarial examples in AI?

Can you explain what adversarial examples are in AI?

Adversarial examples are inputs to AI models that are intentionally designed to cause the model to make mistakes.

How do these examples affect machine learning models?

They can significantly undermine the reliability of models, leading to incorrect predictions or classifications.

Can you give me an example of an adversarial example?

Sure! For instance, altering a few pixels in an image of a cat can make a model classify it as a dog.

What are some methods to defend against adversarial attacks?

Common methods include adversarial training, input preprocessing, and using robust model architectures.