What are some examples of adversarial attacks in computer vision?

What are some examples of adversarial attacks in computer vision?

Adversarial attacks in computer vision involve manipulating input data to deceive AI models. For example, adding noise to an image can cause a model to misclassify it.

Can you give me a specific example of an adversarial attack?

Sure! One famous example is the 'Adversarial Patch' attack, where a small patch is placed on an image, leading the model to misidentify the entire scene.

How do these attacks affect real-world applications?

They can have serious implications, especially in areas like autonomous driving or facial recognition, where misclassifications can lead to dangerous outcomes.

What methods are used to defend against these attacks?

Common defense methods include adversarial training, where models are trained on adversarial examples, and using robust optimization techniques.