US 12,748,894 B2 · Verifying machine learning model integrity by hashing

Abstract

A system may include a plurality of subsystems, such as an identity management system configured to store information associated with digital identities, a resource management system configured to store information associated with resources of a community, a financial system configured to manage financial transactions, an infrastructure system configured to manage a digital representation of the community, a transportation system configured to manage a plurality of transportation devices of the community, an education system configured to manage the education of the community, a security system configured to secure information of the plurality of subsystems, an energy system configured to manage an electrical transmission system and an electrical generation system of the community, and a central hub system configured to manage other subsystems.

Claims20

Dependent claims

A computer-implemented method, comprising:

receiving a request to generate a model token;
accessing a machine learning model;
generating a hash based on the machine learning model;
generating a token based on the machine learning model, wherein the token comprises the hash;
storing the token on a blockchain storage system;
receiving a verification request for the machine learning model comprising a user hash;
determining whether the user hash matches the hash;
and
based on determining the user hash is a same as the hash, transmitting an indication that integrity of the machine learning model is verified.

6 more elements

Dependencies are inferred from the claim text.

Verifying machine learning model integrity by hashing

Life of this patent

Verifying machine learning model integrity by hashing

Life of this patent

Abstract

Claims20