Yiqing Feng
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The paper introduces KBF, a novel black-box auditing protocol that fingerprints LLM APIs by analyzing stable numerical recall near the knowledge boundary, effectively detecting model substitutions and inconsistencies in third-party API endpoints.
The paper introduces KBF, a low-cost black-box auditing protocol that fingerprints LLM APIs by analyzing stable numerical recall near the knowledge boundary, successfully detecting numerous model substitutions and inconsistencies across various production endpoints.
Papers
KBF: Knowledge Boundary as Fingerprint for Language Model and Black-Box API Auditing
The paper introduces KBF, a novel black-box auditing protocol that fingerprints LLM APIs by analyzing stable numerical recall near the knowledge boundary, effectively detecting model substitutions and…