What are adversarial attacks on AI?

What are adversarial attacks on AI?

Adversarial attacks on AI are techniques used to deceive machine learning models by providing misleading inputs.

Can you give me an example of how these attacks work?

Sure! For instance, adding small noise to an image can cause an AI to misclassify it, like identifying a cat as a dog.

Why are these attacks a concern for AI systems?

They pose significant risks, especially in critical areas like security and healthcare, where misclassifications can have serious consequences.

How can we defend against these attacks?

Defenses include adversarial training, where models are trained on both clean and adversarial examples to improve robustness.