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:
Mar. 14, 2023

Filed:

Feb. 28, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Michael Amisano, East Northport, NY (US);

John Behnken, Hurley, NY (US);

Jeb R. Linton, Manassas, VA (US);

John Melchionne, Kingston, NY (US);

David K. Wright, Monroe, MI (US);

Dennis Kramer, Siler City, NC (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06F 21/57 (2013.01); H04L 9/06 (2006.01); H04L 9/00 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 21/57 (2013.01); H04L 9/0637 (2013.01); H04L 9/0643 (2013.01); H04L 9/50 (2022.05);
Abstract

Training a deep neural network model using a trusted execution environment is provided. A selection of two or more encrypted files owned by different entities within a plurality of encrypted files containing sensitive datasets is made by a user of a client device. The two or more encrypted files owned by the different entities are decrypted within the trusted execution environment to form decrypted sensitive datasets owned by the different entities. The decrypted sensitive datasets owned by the different entities are combined within the trusted execution environment to form combined sensitive data owned by the different entities. The deep neural network model is generated within the trusted execution environment based on the combined sensitive data owned by the different entities. The deep neural network model is trained within the trusted execution environment using the combined sensitive data owned by the different entities.


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