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:
May. 05, 2026

Filed:

Jun. 23, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Andrey Karpovsky, Kiryat Motzkin, IL;

Sagi Lowenhardt, Hertzeliya, IL;

Shimon Ezra, Petach Tikva, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/57 (2013.01); G06F 21/62 (2013.01); H04L 9/40 (2022.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 21/6245 (2013.01); H04L 63/1425 (2013.01); G06F 2221/033 (2013.01); G06N 20/00 (2019.01);
Abstract

A computing system and method for training one or more machine-learning models to perform anomaly detection. A training dataset is accessed. An overall sensitivity score is determined that indicates an amount of sensitive data in the training dataset. Machine-learning models are trained based on the training dataset and the overall sensitivity score. The machine-learning models use the overall sensitivity score to determine a threshold. The threshold is relatively low for datasets having a large amount of sensitive data and is relatively high for dataset having a small among of sensitive data. When executed, the machine-learning models determine if a probability score of features extracted from a received dataset are above the determined threshold when a second overall sensitivity score of the received dataset is substantially similar to the overall sensitivity score. When the probability score is above the determined threshold, the machine-learning models cause an alert to be generated.


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