GLOSSARY TERM
What is Adversarial Training?
A defense mechanism that trains models on adversarial examples to improve robustness.
Adversarial training involves augmenting the training dataset with intentionally perturbed inputs designed to fool the model. This hardens the decision boundaries, making the final model significantly more resilient to malicious inputs.
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