Systems and methods for quantifying data leakage from a split layer
US12288157B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 3, 2022 |
| Grant date | Apr 29, 2025 |
| Priority date | — |
| Expiry date | Feb 3, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method are disclosed for providing an artificial intelligence platform. An example method includes examining part of a global neural network to locate a split layer in the global neural network, creating an equivalent model to the part of the global neural network of a same size but having opposite operations, generating smashed data based on an operation on input data by the part of the global neural network, training the equivalent model by inputting the smashed data to generate a second a mirrored copy of the input data, quantifying a distance between the input data and the second generated set of mirrored data to yield a value and, when the value is below a threshold, determining that a current location of the split layer in the global neural network is safe for a training process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.