Neural Flow Attestation

Patent №

US 11,783,201

Granted

2023-10-10

Filed 2020

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16750328

Mechanisms are provided to implement a neural flow attestation engine and perform computer model execution integrity verification based on neural flows. Input data is input to a trained computer model that includes a plurality of layers of neurons. The neural flow attestation engine records, for a set of input data instances in the input data, an output class generated by the trained computer model and a neural flow through the plurality of layers of neurons to thereby generate recorded neural flows. The trained computer model is deployed to a computing platform, and the neural flow attestation engine verifies the execution integrity of the deployed trained computer model based on a runtime neural flow of the deployed trained computer model and the recorded neural flows.

Machine learningKnowledge representationPlanningAI hardwareG06N 3/10G06N 3/04G06N 3/045G06N 3/0464G06N 3/08G06N 3/09

AI classification

Machine learning1.00
AI hardware1.00
Planning0.91
Knowledge representation0.83
Vision0.02
Natural language0.00
Speech0.00
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 515970891

Assignors

GU, ZHONGSHU, SHU, XIAOKUI, JAMJOOM, HANI, MA, TENGFEI

On an employer assignment, the assignors are typically the inventors.

From the same owner

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