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:
Dec. 26, 2023

Filed:

Apr. 15, 2021
Applicant:

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

Inventors:

Taesung Lee, Ridgefield, CT (US);

Ian M. Molloy, Chappaqua, NY (US);

Dong Su, Sunnyvale, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06F 21/60 (2013.01); G06Q 10/06 (2023.01); G06N 3/082 (2023.01);
U.S. Cl.
CPC ...
G06F 21/602 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 3/082 (2013.01); G06Q 10/06 (2013.01); H04L 2209/16 (2013.01);
Abstract

Mechanisms are provided for obfuscating training of trained cognitive model logic. The mechanisms receive input data for classification into one or more classes in a plurality of predefined classes as part of a cognitive operation of the cognitive system. The input data is processed by applying a trained cognitive model to the input data to generate an output vector having values for each of the plurality of predefined classes. A perturbation insertion engine modifies the output vector by inserting a perturbation in a function associated with generating the output vector, to thereby generate a modified output vector. The modified output vector is then output. The perturbation modifies the one or more values to obfuscate the trained configuration of the trained cognitive model logic while maintaining accuracy of classification of the input data.


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