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Researchers Charles Ye, Jasmine Cui, and Dylan Hadfield-Menell found that LLMs cannot reliably distinguish system text from user input, enabling prompt injection. Role tags like <system> and <user> do not guarantee security. Destyling text reduced attack success from 61% to 10%, showing role confusion is a key vulnerability.
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