Evaluation applies bounded perturbations, attack strategies, or adaptive opponents and measures resulting failures. Robust training and layered controls can improve resistance, but defenses should be tested against attackers aware of them.
Adversarial robustness is a system's ability to maintain acceptable behavior under intentionally manipulated inputs or conditions.
Evaluation applies bounded perturbations, attack strategies, or adaptive opponents and measures resulting failures. Robust training and layered controls can improve resistance, but defenses should be tested against attackers aware of them.