Privacy and modeling preserved data sharing
US10395180B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 24, 2015 |
| Grant date | Aug 27, 2019 |
| Priority date | — |
| Expiry date | Aug 16, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F21/6254
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system, method and computer program product for generating a classification model using original data that is sensitive or private to a data owner. The method includes: receiving, from one or more entities, a masked data set having masked data corresponding to the original sensitive data, and further including a masked feature label set for use in classifying the masked data contents; forming a shared data collection of the masked data and the masked feature label sets received; and training, by a second entity, a classification model from the shared masked data and feature label sets, wherein the classification model learned from the shared masked data and feature label sets is the same as a classification model learned from the original sensitive data. The sensitive features and labels cannot be reliably recovered even when both the masked data and the learning algorithm are known.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.