Trigger words compromise LLM-based robot task planning systems
Overview
Researchers at Binghamton University have demonstrated how hidden trigger words inserted into large language models (LLMs) could cause service robots to perform dangerous actions, such as slicing a person's hand instead of an apple. They developed a defense system called PROTEA to detect and prevent such attacks, emphasizing the need for secure AI ecosystems in robotics.
From Tech Xplore — Robotics
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- 2026-10-30T22:03:07.925Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T22:02:42.504Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
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- Tech Xplore — RoboticsSignalSecret trigger words could make AI-powered robots dangerous
Researchers at Binghamton University have demonstrated how hidden trigger words inserted into large language models (LLMs) could cause service robots to perform dangerous actions, such as slicing a person's hand instead of an apple. They developed a defense system called PROTEA to detect and prevent such attacks, emphasizing the need for secure AI ecosystems in robotics.
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