The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 09, 2022

Filed:

Jan. 17, 2019
Applicant:

Nxp B.v., Eindhoven, NL;

Inventors:

Nikita Veshchikov, Brussels, BE;

Joppe Willem Bos, Wijgmaal, BE;

Simon Johann Friedberger, Heverlee, BE;

Assignee:

NXP B.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 21/12 (2013.01); G06K 9/62 (2022.01); H04L 9/32 (2006.01); G06F 11/10 (2006.01);
U.S. Cl.
CPC ...
G06F 21/12 (2013.01); G06K 9/6259 (2013.01); G06N 20/00 (2019.01); G06F 11/10 (2013.01); G06F 2221/0724 (2013.01); H04L 9/3236 (2013.01);
Abstract

A method is provided for detecting copying of a machine learning model. A plurality of inputs is provided to a first machine learning model. The first machine learning model provides a plurality of output values. A sequence of bits of a master input is divided into a plurality of subsets of bits. The master input may be an image. Each subset of the plurality of subsets of bits corresponds to one of the plurality of output values. An ordered sequence of the inputs is generated based on the plurality of subsets of bits. The ordered sequence of the inputs is inputted to a second machine learning model. It is then determined if output values from the second machine learning model reproduces the predetermined master input. If the predetermined master input is reproduced, the second machine learning model is a copy of the first machine learning model.


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