A unified threat model for LLM-enabled robots reveals three cross-boundary attack chains from user input to unsafe physical actuation due to missing validations and unmediated crossings.
A practical man-in-the-middle attack on deep learning edge device by sparse light strip injection into camera data lane
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From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems
A unified threat model for LLM-enabled robots reveals three cross-boundary attack chains from user input to unsafe physical actuation due to missing validations and unmediated crossings.