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
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