Patent · US Active

System and method for improving classification in adversarial machine learning

US11972335B2 · kind B2 · utility

0Cited by

2References

20Claims

0Family size

Assignee

The Government of the United States of America, as represented by the Secretary of the Navy · US

Inventors

Prithviraj Dasgupta · Omaha, US
Joseph B. Collins · Washington, US

Key dates

Filing date	Mar 1, 2021
Grant date	Apr 30, 2024
Priority date	—
Expiry date	Jan 19, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06N7/01
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods and systems are provided for automatic classification of information in an adversarial machine learning setting. For example, a learner that includes multiple classifiers may perform data classification automatically. Each classifier may be trained with adversarial data of a different strength. For a given query to be classified, the learner is configured to intelligently select a classifier that is commensurate with the adversarial strength of the data inside the query, without explicit knowledge of that data or its adversarial strength.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.