by Michele Laurelli
Training technique improving model robustness by including adversarial examples.
Augments training with adversarially perturbed examples. Models learn to be robust to small input perturbations. Improves security against adversarial attacks.
Defending against adversarial attacks
Robust image classification
Security enhancement