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Modelstamp: Pre-Deserialization Verification of Machine-Learning Artifacts and Runtime Environment State

Dhekne, Anagha
arXiv (All) · Papers
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cryptography-and-securitysoftware-engineering
Persisted machine-learning models can remain byte-identical while the software environments in which they are loaded evolve, creating a verification problem that artifact integrity checks alone cannot expose. This paper presents Modelstamp, a lightweight Python persistence library for verifying arti
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