Training a question-answer dialog sytem to avoid adversarial attacks
US11520829B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 21, 2020 |
| Grant date | Dec 6, 2022 |
| Priority date | — |
| Expiry date | May 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer program product, and/or computer system protects a question-answer dialog system from being attacked by adversarial statements that incorrectly answer a question. A computing device accesses a plurality of adversarial statements that are capable of making an adversarial attack on a question-answer dialog system, which is trained to provide a correct answer to a specific type of question. The computing device utilizes the plurality of adversarial statements to train a machine learning model for the question-answer dialog system. The computing device then reinforces the trained machine learning model by bootstrapping adversarial policies that identify multiple types of adversarial statements onto the trained machine learning model. The computing device then utilizes the trained and bootstrapped machine learning model to avoid adversarial attacks when responding to questions submitted to the question-answer dialog system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.