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We introduce Angle-Robust Concept Learning (AngleRoCL), a simple and flexible approach that learns a generalizable concept representing the capability of generating angle-robust patches. The learned concept can be incorporated into textual prompts and guides T2I to generate patches with their attack inherently resistant to viewpoint variations.