What are some real-world examples of adversarial attacks on AI?

What are some real-world examples of adversarial attacks on AI?

Adversarial attacks are techniques used to fool AI models. One famous example is the 'Adversarial Patch' attack, where a small patch is placed on an object to mislead image recognition systems.

Can you give me another example?

Sure! In 2016, researchers demonstrated that they could manipulate stop signs with stickers, causing self-driving cars to misinterpret them as yield signs.

How do these attacks affect AI systems in practice?

These attacks can lead to serious consequences, such as misclassification in security systems, which can compromise safety and security.

What measures can be taken to defend against these attacks?

Defensive strategies include adversarial training, where models are trained on adversarial examples, and using robust algorithms to detect and mitigate such attacks.