How do adversarial attacks work?

Can you explain what adversarial attacks are in AI?

Adversarial attacks are techniques used to fool AI models by providing deceptive inputs that lead to incorrect outputs.

How do these attacks actually work?

They work by slightly altering the input data in a way that is often imperceptible to humans but causes the AI to misclassify.

Can you give an example of an adversarial attack?

Sure! A common example is adding noise to an image, which can cause an image recognition system to misidentify it.

What are the implications of these attacks for AI safety?

Adversarial attacks raise concerns about the reliability and security of AI systems, especially in critical applications like self-driving cars.