From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems
As large language models are integrated into autonomous robotic systems for task planning and control, compromised inputs or unsafe model outputs can propagate through the planning pipeline to physical-world consequences. Although prior work has studied robotic cybersecurity, adversarial perception attacks, and LLM safety independently, no existing study traces how these threat categories interact and propagate across trust boundaries in a unified architectural model. We address this gap by modeling an LLM-enabled autonomous robot in an edge-cloud architecture as a hierarchical Data Flow Diagram and applying STRIDE-per-interaction analysis across six boundary-crossing interaction points u...
| Authors | Neha Nagaraja, Hayretdin Bahsi, Carlo R. da Cunha |
|---|---|
| Primary category | cs.CR |
| Published | 29 April 2026 |
| Last updated at source | 4 May 2026 |
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