Patents by Inventor Benjamin Hettwer

Benjamin Hettwer 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).

  • Patent number: 11550904
    Abstract: A system includes memory, a processor in communication with the memory. The processor is programmed to define a fingerprint that includes a baseline measurement of a physical attribute of at least a separate processor during an enrollment period of the system, wherein the enrollment period includes measuring the physical attribute of the processor prior to runtime operation, receiving a runtime measurement from a sensor regarding the physical attribute of at least the separate processor during runtime, comparing the runtime measurement of the physical attribute to the fingerprint, and outputting a multi-dimensional domain image in response to the runtime measurement.
    Type: Grant
    Filed: August 25, 2020
    Date of Patent: January 10, 2023
    Inventors: Jorge Guajardo Merchan, Stefan Gehrer, Benjamin Hettwer, Samarjit Das
  • Patent number: 11520892
    Abstract: An integrated circuit including an electronic fuse for supporting a secure bootstrap process, in which the fuse is queried. The circuit includes a protection against electromagnetic fault injection. The circuit is configured in such a way that the protection extends to the bootstrap process.
    Type: Grant
    Filed: January 28, 2020
    Date of Patent: December 6, 2022
    Assignee: Robert Bosch GmbH
    Inventors: Sebastien Leger, Benjamin Hettwer, Juergen Schramm
  • Publication number: 20220121938
    Abstract: A computer-implemented method for a neural network, for example an artificial deep neural network. The method includes: providing a plurality of training data sets, each training data set comprising input data for the neural network and associated output data, training the neural network based on the plurality of training data sets and a loss function, wherein the loss function is based on a correlation of an output value provided by the neural network and a predetermined function characterizing an operation of a physical system, wherein the method further comprises weighting bit values of a leakage value associated with the predetermined function using weighting coefficients, wherein weighted bit values are obtained, and evaluating the correlation based on the weighted bit values.
    Type: Application
    Filed: October 8, 2021
    Publication date: April 21, 2022
    Inventor: Benjamin Hettwer
  • Publication number: 20220114422
    Abstract: A computer-implemented method for a neural network, for example an artificial deep neural network. The method includes: providing a plurality of training data sets, each training data set comprising input data for the neural network and associated output data, training the neural network based on the plurality of training data sets and a loss function, wherein the loss function is based on a bit-wise correlation of an output value provided by the neural network and a predetermined function characterizing an operation of a physical system.
    Type: Application
    Filed: September 30, 2021
    Publication date: April 14, 2022
    Inventor: Benjamin Hettwer
  • Publication number: 20220067149
    Abstract: A system includes memory, a processor in communication with the memory. The processor is programmed to define a fingerprint that includes a baseline measurement of a physical attribute of at least a separate processor during an enrollment period of the system, wherein the enrollment period includes measuring the physical attribute of the processor prior to runtime operation, receiving a runtime measurement from a sensor regarding the physical attribute of at least the separate processor during runtime, comparing the runtime measurement of the physical attribute to the fingerprint, and outputting a multi-dimensional domain image in response to the runtime measurement.
    Type: Application
    Filed: August 25, 2020
    Publication date: March 3, 2022
    Inventors: Jorge GUAJARDO MERCHAN, Stefan GEHRER, Benjamin HETTWER, Samarjit DAS
  • Publication number: 20210150342
    Abstract: A computer-implemented method for processing data of a technical system having multiple data processing areas, which is designed for processing input data, in particular of a computing device for carrying out cryptographic methods, based on the input data. The computer-implemented method including a) modeling at least one part of the technical system with the aid of at least one, in particular artificial, neural network; b) ascertaining at least two physical variables of the technical system for at least two of the multiple data processing areas, in particular during a processing of at least one part of the input data, the at least two physical variables each being assigned to one different data processing area, the at least two physical variables being at least temporarily assigned to the neural network as input variables.
    Type: Application
    Filed: August 11, 2020
    Publication date: May 20, 2021
    Inventors: Benjamin Hettwer, Sebastien Leger
  • Patent number: 10999058
    Abstract: A system-on-chip includes a processing system, a memory connected to the processing system, and a programmable logic circuit connected to the memory, where the processing system is configured to store different circuit configurations in the memory according to a predefined netlist, and the system is configured to repeatedly adapt the circuit to the circuit configurations stored in the memory.
    Type: Grant
    Filed: October 19, 2018
    Date of Patent: May 4, 2021
    Assignee: Robert Bosch GmbH
    Inventors: Benjamin Hettwer, Stefan Gehrer
  • Publication number: 20200242248
    Abstract: An integrated circuit including an electronic fuse for supporting a secure bootstrap process, in which the fuse is queried. The circuit includes a protection against electromagnetic fault injection. The circuit is configured in such a way that the protection extends to the bootstrap process.
    Type: Application
    Filed: January 28, 2020
    Publication date: July 30, 2020
    Inventors: Sebastien Leger, Benjamin Hettwer, Juergen Schramm
  • Publication number: 20190132113
    Abstract: A system-on-chip includes a processing system, a memory connected to the processing system, and a programmable logic circuit connected to the memory, where the processing system is configured to store different circuit configurations in the memory according to a predefined netlist, and the system is configured to repeatedly adapt the circuit to the circuit configurations stored in the memory.
    Type: Application
    Filed: October 19, 2018
    Publication date: May 2, 2019
    Inventors: Benjamin Hettwer, Stefan Gehrer