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:
Apr. 20, 2021

Filed:

Dec. 18, 2018
Applicant:

Symantec Corporation, Mountain View, CA (US);

Inventors:

Jasjeet Dhaliwal, Morgan Hill, CA (US);

Melanie Beck, Mountain View, CA (US);

Aleatha Parker-Wood, Palo Alto, CA (US);

Geoffrey So, Foster City, CA (US);

Assignee:

NORTONLIFELOCK INC., Tempe, AZ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06F 21/60 (2013.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 21/60 (2013.01); G06N 20/00 (2019.01); H04L 63/14 (2013.01);
Abstract

Identifying and protecting against a computer security threat while preserving privacy of individual client devices using differential privacy machine learning for streaming data. In some embodiments, a method may include receiving first actual data values streamed from one or more first local client devices, generating first perturbed data values by adding noise to the first actual data values using a differential privacy mechanism, storing the first perturbed data values, training a machine learning classifier using the first perturbed data values, receiving a second actual data value streamed from a second local client device, generating a second perturbed data value by adding noise to the second actual data value, storing the second perturbed data value, identifying a computer security threat to the second local client device using the second actual data value as input to the trained machine learning classifier, and protecting against the computer security threat.


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