Backdoored robot tries its hand at finger chopping and cat cooking

Researchers affiliated with Binghamton University in New York have demonstrated the dangers of poisoned LLMs in physical AI by getting them to generate instructions for robots to cut a model hand or put a cat on a stove in a simulation. Fortunately, they also have a potential defense. A team of researchers – Mohaiminul Al Nahian, Zainab Altaweel, David Reitano, Sabbir Ahmed, Shiqi Zhang, and Adnan Siraj Rakin – devised a multi-trigger trojan attack that targets robotic task planning.