What are some examples of adversarial attacks in AI?

What are some examples of adversarial attacks in AI?

Adversarial attacks are techniques used to fool AI models. For example, adding noise to an image can mislead a classifier.

Can you give me a specific example of an image-based attack?

Sure! One common example is the 'Fast Gradient Sign Method' where small perturbations are added to an image to change its classification.

How do these attacks affect real-world applications?

They can have serious implications, like misclassifying stop signs in self-driving cars, leading to safety risks.

What can be done to defend against these attacks?

Defenses include adversarial training, where models are trained on adversarial examples, and using robust architectures.