What is adversarial training?

What is adversarial training?

Adversarial training is a technique used in machine learning to improve model robustness by training it on adversarial examples.

Can you explain what adversarial examples are?

Adversarial examples are inputs to a model that have been intentionally modified to cause the model to make mistakes.

How does adversarial training help in improving model performance?

It helps by exposing the model to potential weaknesses during training, allowing it to learn to resist such attacks.

Are there any limitations to adversarial training?

Yes, it can be computationally expensive and may not always generalize well to unseen adversarial examples.