Author

Chaoyang Zhao

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BERM: Low-Overhead Prompt-Injection Detection via In-Situ Benign Representation Modeling

BERM is introduced, a lightweight framework that performs in-situ detection by modeling a host LLM’s internal representations extracted during prefill, adding negligible overhead and reducing incremental inference overhead to near-zero.

Maihao Guo, Chaoyang Zhao, Jinqiao Wang · 0 citations