adversarial-training

Adversarial training involves incorporating adversarial examples into the training set to enhance model robustness. By exposing the model to these intentionally perturbed inputs, it learns to make more reliable predictions in the presence of deceptive or malicious alterations. This technique is vital for applications in security-sensitive areas.