Standard adversarial robustness theory focuses on protecting models against input-level perturbations, such as pixel-level noise or rotations, while holding the underlying ontology constant. This paper identifies a more fundamental vulnerability: ontological uncertainty. In real-world deployment, the 'kinds of things' a model encounters are not static.