Method for machine learning model verification and transaction
Ku, Yu Te Xiao, Yu Ho, Ming-Chien Hsu, Chih-Fan Chen, Wei-Chao Liu, Feng-Hao Chang, Ming-Ching Hung, Shih-Hao
Ku, Yu Te
Xiao, Yu
Ho, Ming-Chien
Hsu, Chih-Fan
Chen, Wei-Chao
Liu, Feng-Hao
Chang, Ming-Ching
Hung, Shih-Hao
Supervisor
Department
Computer Science
Embargo End Date
Type
Patent
Date
2025
License
Language
English
Collections
Research Projects
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Abstract
The present disclosure provides a method including: generating a first private key and a public key according to a parameter set of full homomorphic encryption; encrypting test data and label by the public key to generate test data ciphertext and label ciphertext; generating a smart contract executed by a blockchain system, and transferring control of an amount of cryptocurrency from a first cryptocurrency account to the blockchain; receiving a result of a verification to a model ciphertext; when the result indicates that the model ciphertext does not pass the verification, retrieving the control of the amount of cryptocurrency; and when the result indicates that the model ciphertext passes the verification, receiving the model ciphertext and a second private key from the blockchain system, and decrypting, according to the first and second private keys, the model ciphertext to generate a model to infer the test data.
Citation
“US20250165967A1 - Method for machine learning model verification and transaction - Google Patents.” Accessed: Jun. 03, 2025. [Online]. Available: https://patents.google.com/patent/US20250165967A1/en
Source
US Patent Application
Conference
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Source
Publisher
Google Patent