Jonas Mller
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2026
Fingerprinting Inference Systems of Large Language Models
This paper introduces a fingerprinting method that exploits subtle numerical deviations in the inference system components (like the engine or hardware) to reliably identify the specific components used to run a Large Language Model.
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