arXiv (OAI Expanded)
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An Embarrassingly Simple Detector for Model Extraction Attacks in Large Language Model API Traffic
Large language models (LLMs) are increasingly deployed through hosted APIs, making model extraction a practical threat to model ownership and service security. Individual extraction queries often resemble benign requests, while existing evaluations often focus on single-query anomaly scoring or pure
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