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:
Oct. 28, 2025

Filed:

Oct. 11, 2024
Applicant:

Protegrity Us Holding, Llc, Stamford, CT (US);

Inventors:

André Castro, Lisbon, PT;

David Clyde Williamson, Great Missenden, GB;

Vichai Levy, Norwalk, CT (US);

Chandan Chaitanya, Telangana, IN;

Assignee:

Protegrity US Holding, LLC, Stamford, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 16/28 (2019.01); G06F 21/62 (2013.01);
U.S. Cl.
CPC ...
G06F 16/285 (2019.01); G06F 21/6254 (2013.01);
Abstract

A data privacy system automatically determines quasi-identifiers in a database containing individuals' records. The data privacy system applies a machine learning model to the database, the model configured to classify each record in the database and output a measure of its confidence in its classification. The data privacy system determines, based on the measure of confidence, how important each attribute is to the model's classification. The data privacy system iteratively applies a machine learning model on a modified database that includes the highest ranked attributes to identify the quasi-identifiers in the records in the database. The data privacy system can use identified quasi-identifiers to determine if the database is susceptible to a membership inference attack, and in response to such a determination, can perform one or more data privacy operations on the database to reduce this risk.


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