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New research has found that a small and fairly constant number of malicious documents can poison an llm and create a backdoor. Large learning models (llms) use chatbots or assistants to interface with users, and some of these assistants have exhibited troubling behaviors recently, like praising evil dictators, using. It’s trivially easy to poison llms into spitting out gibberish, says anthropic github copilot ‘camoleak’ ai attack exfiltrates data take note
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In collaboration with researchers at the ai security institute and anthropic, we today publish the largest investigation of data poisoning yet conducted, finding that llms may be more vulnerable than previously thought Ai is a relatively new tool, and despite its rapid deployment in nearly every aspect of our lives, researchers are still trying to figure out how its personality traits arise and how to control them Our focus in this research was the use of data poisoning to insert ‘backdoors’ into llms.
