Patents by Inventor Fabien Delalondre

Fabien Delalondre has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • HOMOMORPHIC ENCRYPTION
    Publication number: 20230370244
    Abstract: Methods, systems, and devices for homomorphic encryption. In one implementation, the methods include inputting first data into a recurrent artificial neural network, identifying patterns of activity in the recurrent artificial neural network that are responsive to the input of the secure data, storing second data representing whether the identified patterns of activity comports with topological patterns, and statistically analyzing the second data to draw conclusions about the first data.
    Type: Application
    Filed: April 5, 2023
    Publication date: November 16, 2023
    Inventors: Henry Markram, Felix Schuermann, Kathryn Hess Bellwald, Fabien Delalondre
  • Homomorphic encryption
    Patent number: 11652603
    Abstract: Methods, systems, and devices for homomorphic encryption. In one implementation, the methods include inputting first data into a recurrent artificial neural network, identifying patterns of activity in the recurrent artificial neural network that are responsive to the input of the secure data, storing second data representing whether the identified patterns of activity comports with topological patterns, and statistically analyzing the second data to draw conclusions about the first data.
    Type: Grant
    Filed: March 18, 2019
    Date of Patent: May 16, 2023
    Assignee: INAIT SA
    Inventors: Henry Markram, Felix Schuermann, Kathryn Hess, Fabien Delalondre
  • HOMOMORPHIC ENCRYPTION
    Publication number: 20200304284
    Abstract: Methods, systems, and devices for homomorphic encryption. In one implementation, the methods include inputting first data into a recurrent artificial neural network, identifying patterns of activity in the recurrent artificial neural network that are responsive to the input of the secure data, storing second data representing whether the identified patterns of activity comports with topological patterns, and statistically analyzing the second data to draw conclusions about the first data.
    Type: Application
    Filed: March 18, 2019
    Publication date: September 24, 2020
    Inventors: Henry Markram, Felix Schuermann, Kathryn Hess, Fabien Delalondre