Privacy interface for data loss prevention via artificial intelligence models
US11811794B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 12, 2021 |
| Grant date | Nov 7, 2023 |
| Priority date | — |
| Expiry date | Jan 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The technology disclosed provides systems and methods related to preventing exfiltration of training data by feature reconstruction attacks on model instances trained on the training data during a training job. The system comprises a privacy interface that presents a plurality of modulators for a plurality of training parameters. The modulators are configured to respond to selection commands via the privacy interface to trigger procedural calls. The procedural calls modify corresponding training parameters in the plurality of training parameters for respective training cycles in the training job. The system comprises a trainer configured to execute the training cycles in dependence on the modified training parameters. The trainer can determine a performance accuracy of the model instances for each of the executed training cycles. The system comprises a differential privacy estimator configured to estimate a privacy guarantee for each of the executed training cycles in dependence on the modified training parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.