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. 23, 2022

Filed:

Nov. 25, 2019
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Chung Hwan Kim, Pennington, NJ (US);

Junghwan Rhee, Princeton, NJ (US);

Kangkook Jee, Princeton, NJ (US);

Zhichun Li, Princeton, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/54 (2013.01); G06N 20/00 (2019.01); G06F 8/73 (2018.01); G06F 8/41 (2018.01); G06F 21/53 (2013.01); G06F 8/75 (2018.01);
U.S. Cl.
CPC ...
G06F 21/54 (2013.01); G06F 8/425 (2013.01); G06F 8/44 (2013.01); G06F 8/73 (2013.01); G06F 8/75 (2013.01); G06F 21/53 (2013.01); G06N 20/00 (2019.01); G06F 2221/033 (2013.01);
Abstract

A method for implementing confidential machine learning with program compartmentalization includes implementing a development stage to design an ML program, including annotating source code of the ML program to generate an ML program annotation, performing program analysis based on the development stage, including compiling the source code of the ML program based on the ML program annotation, inserting binary code based on the program analysis, including inserting run-time code into a confidential part of the ML program and a non-confidential part of the ML program, and generating an ML model by executing the ML program with the inserted binary code to protect the confidentiality of the ML model and the ML program from attack.


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