Exposing LLM-Controlled Robots' Vulnerability to Jailbreaking Physical Attacks

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Overview

Large language models (LLMs) are revolutionizing robotics by enabling more contextual reasoning and intuitive human-robot interaction.
However, LLMs are known to be vulnerable to "jailbreaking" attacks, where malicious prompts can elicit harmful text by bypassing safety measures.
This paper introduces RoboPAIR, the first algorithm designed to jailbreak LLM-controlled robots and elicit harmful physical actions, not just text.
The researchers demonstrate successful jailbreaks in three scenarios with different levels of access to the LLM-controlled robots.

Plain English Explanation

Large language models (LLMs) are a type of artificial intelligence that can understand and generate human-like text. In recent years, LLMs have revolutionized robotics by allowing robots to communicate more...

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