System and method for executing machine learning model inference
Ku, Yu Te Hsu, Chih-Fan Chen, Wei-Chao Liu, Feng-Hao Hung, Shih-Hao
Ku, Yu Te
Hsu, Chih-Fan
Chen, Wei-Chao
Liu, Feng-Hao
Hung, Shih-Hao
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Department
Computer Science
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Type
Patent
Date
2025
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Language
English
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Abstract
The present disclosure provides a system including first to second electronic devices. The first electronic device includes a first processor configured to encrypt a machine learning model to generate an encrypted machine learning model. The second electronic device includes a second processor configured to receive the encrypted machine learning model; and a trusted processing circuit configured to decrypt the encrypted machine learning model to get the machine learning model. The third electronic device includes a database configured to store public keys; and a third processor configured to perform a check operation to check whether a first public key of the trusted processing circuit is in the public keys to determine whether the trusted processing circuit is valid. The first processor is further configured to transmit the encrypted machine learning model to the second processor according to the trusted processing circuit determined valid.
Citation
Y. T. Ku, C.-F. Hsu, W.-C. Chen, F.-H. Liu, and S.-H. Hung, “System and method for executing machine learning model inference,” U.S. Patent Application US 20250293853 A1, filed June 5, 2024
Source
US Patent App. 18/735,142
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Google Patent