New Theory Explains Why Prompt Injection Attacks on AI Systems Work
A new theoretical paper proposes that prompt injection attacks on AI systems succeed because of "role confusion" — the model fails to clearly distinguish between trusted user instructions and untrusted external content. The research is published at role-confusion.github.io and has sparked discussion in the developer community on Hacker News.
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