Chaoyang Zhao

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.