Computing trade-offs between privacy and accuracy of data analysis
US11783083B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 19, 2021 |
| Grant date | Oct 10, 2023 |
| Priority date | — |
| Expiry date | Jun 7, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an approach for computing trade-offs between privacy and accuracy of data analysis on building a learning model, a processor receives a dataset for training a model. The dataset includes one or more pre-identified sensitive data fields. The processor determines a weight of each sensitive data field for the model. The processor evaluates resource cost of applying a privacy preservation technique to the one or more pre-identified sensitive data fields. The processor identifies correlation among the sensitive data fields. The processor presents a comparison of options for training the model, in terms of tradeoffs of accuracy for training the model and the resource cost of the privacy preservation technique.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.