Innocent until proven guilty (IUPG): adversary resistant and false positive resistant deep learning models

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United States of America Patent

PATENT NO 11856003
SERIAL NO

17331549

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Abstract

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Techniques for providing innocent until proven guilty (IUPG) solutions for building and using adversary resistant and false positive resistant deep learning models are disclosed. In some embodiments, a system, process, and/or computer program product includes storing a set comprising one or more innocent until proven guilty (IUPG) models for static analysis of a sample; performing a static analysis of content associated with the sample, wherein performing the static analysis includes using at least one stored IUPG model; and determining that the sample is malicious based at least in part on the static analysis of the content associated with the sample, and in response to determining that the sample is malicious, performing an action based on a security policy.

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Patent Owner(s)

Patent OwnerAddress
PALO ALTO NETWORKS INC3000 TANNERY WAY SANTA CLARA CA 95054

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Hewlett,, II William Redington Mountain View, US 28 139
Kutt, Brody James Santa Clara, US 10 35
Starov, Oleksii Santa Clara, US 14 39
Zhou, Yuchen Newark, US 216 4574

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