Machine learning adversarial campaign mitigation on a computing device
US11551137B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 30, 2019 |
| Grant date | Jan 10, 2023 |
| Priority date | — |
| Expiry date | Nov 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/094
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning adversarial campaign mitigation on a computing device. The method may include deploying an original machine learning model in a model environment associated with a client device; deploying a classification monitor in the model environment to monitor classification decision outputs in the machine learning model; detecting, by the classification monitor, a campaign of adversarial classification decision outputs in the machine learning model; applying a transformation function to the machine learning model in the model environment to transform the adversarial classification decision outputs to thwart the campaign of adversarial classification decision outputs; determining a malicious attack on the client device based in part on detecting the campaign of adversarial classification decision outputs; and implementing a security action to protect the computing device against the malicious attack.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.