When Detectors Replace Humans: Adversarial Camouflage Testing in the AI Era

As automated surveillance systems increasingly rely on machine vision rather than human observation, traditional camouflage evaluation has become obsolete. This work demonstrates adversarial testing—measuring camouflage effectiveness against actual AI detectors across simulated distances—providing objective stealth scores instead of subjective assessments. The broader implication extends beyond camouflage: adversarial evaluation against deployed AI systems is becoming essential across security domains, from content moderation to anonymization testing.