Method of secure classification of input data by means of a convolutional neural network
US11568199B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 2, 2019 |
| Grant date | Jan 31, 2023 |
| Priority date | — |
| Expiry date | May 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/53
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of secure classification of input data by a convolutional neural network (CNN), including (a) determination, by application of the CNN to the input data, of a first classification vector associating with each of a plurality of potential classes a representative integer score of the probability of the input data belonging to the potential class, the first vector corresponding to one possible vector, each possible vector of the first set associating with each of the plurality of potential classes an integer score; (b) construction, from the first vector, of a second classification vector of the input data, such that the second vector also belongs to the first space of possible vectors and has a distance with the first vector according to a given distance function equal to a non-zero reference distance; and return of the second vector as result of the secure classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.