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Binghamton team demonstrates trigger words that can make LLM-driven robots perform dangerous actions, proposes defense system

A Binghamton University team presented two papers at 2026 IEEE/RSJ IROS, demonstrating that implanting hidden trigger words in large language models can cause robots to deviate from their task plans and perform dangerous actions.

Part of the event: Binghamton team publishes research on backdoor attacks and defenses for LLM-powered robots

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