Is adversarial training necessary for AI?

What is adversarial training in AI?

Adversarial training is a technique used to improve the robustness of AI models by exposing them to adversarial examples during training.

Why is it important for AI systems?

It's important because it helps AI systems better handle unexpected inputs and reduces vulnerabilities to attacks.

Are there any downsides to adversarial training?

Yes, it can increase training time and may lead to overfitting on adversarial examples if not done carefully.

Can you give an example of adversarial training in action?

Sure! For instance, in image recognition, adversarial training might involve slightly altering images to confuse the model, helping it learn to recognize true patterns better.