Adversarial attacks operate below human perception thresholds, exploiting mathematical vulnerabilities invisible to standard quality assurance. While previous chapters explored how attackers craft these invisible manipulations, this chapter focuses on the defender's perspective: identifying adversarial inputs before they compromise model behavior. Adversarial detection systems form a critical defensive layer that can identify and quarantine suspicious inputs for analysis or rejection.