José María Jorquera Valero

Adversarial Training Foundations: Methods to Enhance Neural Network Robustness

The study systematically compares two distinct adversarial training strategies: ‘pre-train’, where adversarial examples are generated beforehand, and ‘in-train’, where perturbations are introduced dynamically during the training process, to understand the advantages and limitations of each approach in enhancing model robustness.