Patent ID: 11966851
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A computer system, the computer system comprising:
one or more computer processors;
at least one computer readable storage medium that is not a transitory signal per se; and
program instructions stored on the at least one computer readable storage medium, the program instructions being executable by at least one computer processor of the one or more computer processors to cause the at least one computer processor to perform a method comprising:
obtaining, by at least one computer processor, a plurality of stored machine learning models;
extracting, by the at least one computer processor, a plurality of updated parameters sets from the plurality of stored machine learning models, wherein the plurality of updated parameter sets includes a standard deviation weight parameter and a standard deviation bias parameter;
representing, by the at least one computer processor, individual parameter values as parameter distributions, wherein the parameter distribution is based on a mean of the individual parameter values and a standard deviation of the individual parameter values;
creating, by the at least one computer processor, a new machine learning model based on a respective distribution of each parameter included in the plurality of updated parameters sets;
protecting, by the at least one computer processor, the new machine learning model from reverse engineering by basing the new machine learning model on the respective distribution of each parameter to protect each parameter included in the plurality of updated parameter sets from extraction; and
processing, by the at least one computer processor, at least one new query using the new machine learning model.