Patents by Inventor Alexander Petric

Alexander Petric 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).

  • Publication number: 20210167948
    Abstract: A method for performing privacy-preserving or secure multi-party computations enables multiple parties to collaborate to produce a shared result while preserving the privacy of input data contributed by individual parties. The method can produce a result with a specified high degree of precision or accuracy in relation to an exactly accurate plaintext (non-privacy-preserving) computation of the result, without unduly burdensome amounts of inter-party communication. The multi-party computations can include a Fourier series approximation of a continuous function or an approximation of a continuous function using trigonometric polynomials, for example, in training a machine learning classifier using secret shared input data.
    Type: Application
    Filed: February 8, 2021
    Publication date: June 3, 2021
    Inventors: Nicolas Gama, Jordan Brandt, Dimitar Jetchev, Stanislav Peceny, Alexander Petric
  • Patent number: 10917235
    Abstract: A method for performing privacy-preserving or secure multi-party computations enables multiple parties to collaborate to produce a shared result while preserving the privacy of input data contributed by individual parties. The method can produce a result with a specified high degree of precision or accuracy in relation to an exactly accurate plaintext (non-privacy-preserving) computation of the result, without unduly burdensome amounts of inter-party communication. The multi-party computations can include a Fourier series approximation of a continuous function or an approximation of a continuous function using trigonometric polynomials, for example, in training a machine learning classifier using secret shared input data.
    Type: Grant
    Filed: July 23, 2020
    Date of Patent: February 9, 2021
    Inventors: Nicolas Gama, Jordan Brandt, Dimitar Jetchev, Stanislav Peceny, Alexander Petric
  • Publication number: 20200358601
    Abstract: A method for performing privacy-preserving or secure multi-party computations enables multiple parties to collaborate to produce a shared result while preserving the privacy of input data contributed by individual parties. The method can produce a result with a specified high degree of precision or accuracy in relation to an exactly accurate plaintext (non-privacy-preserving) computation of the result, without unduly burdensome amounts of inter-party communication. The multi-party computations can include a Fourier series approximation of a continuous function or an approximation of a continuous function using trigonometric polynomials, for example, in training a machine learning classifier using secret shared input data.
    Type: Application
    Filed: July 23, 2020
    Publication date: November 12, 2020
    Inventors: Nicolas Gama, Jordan Brandt, Dimitar Jetchev, Stanislav Peceny, Alexander Petric
  • Publication number: 20200304293
    Abstract: A method for performing privacy-preserving or secure multi-party computations enables multiple parties to collaborate to produce a shared result while preserving the privacy of input data contributed by individual parties. The method can produce a result with a specified high degree of precision or accuracy in relation to an exactly accurate plaintext (non-privacy-preserving) computation of the result, without unduly burdensome amounts of inter-party communication. The multi-party computations can include a Fourier series approximation of a continuous function or an approximation of a continuous function using trigonometric polynomials, for example, in training a machine learning classifier using secret shared input data.
    Type: Application
    Filed: August 30, 2018
    Publication date: September 24, 2020
    Inventors: Nicolas Gama, Jordan Brandt, Dimitar Jetchev, Stanislav Peceny, Alexander Petric