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Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors

Penman, Joshua
arXiv (All) · Papers
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computation-and-languagecryptography-and-securitymachine-learning
Everything a language model sees is tokens. The serving stack knows what each span is -- user input, tool output, instructions -- but the model must keep track of that itself, and can lose track or be confused: text can be written to read like anything. Prompt injection is a natural exploit of this
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