Patents by Inventor Daniel Eynis

Daniel Eynis 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).

  • Systems and methods for selectively anonymizing targeted data entries
    Patent number: 12743552
    Abstract: Systems and methods for anonymizing targeted data entries. A method includes accessing a dataset comprising targeted data and parsing the dataset into a plurality of data entities. The method includes detecting a plurality of targeted data entries among the plurality of parsed data entities and determining a confidence score associated with each of the plurality of targeted data entries. The method includes determining at least two overlapping targeted data entries and determining at least one contained targeted data entry. The method further includes determining a subset of targeted data entries each having a confidence score below a threshold confidence score and removing at least one targeted data entry. The method includes converting remaining targeted data entries of the plurality of targeted data entries to anonymized data entries.
    Type: Grant
    Filed: September 30, 2024
    Date of Patent: September 22, 2026
    Assignee: UBER TECHNOLOGIES, INC.
    Inventors: Veli Engin Bozdag, Daniel Eynis, Nimish Gupta, Mohammad Kamrul Islam, Lei Sun
  • Systems and Methods for Selectively Anonymizing Targeted Data Entries
    Publication number: 20260093846
    Abstract: Systems and methods for anonymizing targeted data entries. A method includes accessing a dataset comprising targeted data and parsing the dataset into a plurality of data entities. The method includes detecting a plurality of targeted data entries among the plurality of parsed data entities and determining a confidence score associated with each of the plurality of targeted data entries. The method includes determining at least two overlapping targeted data entries and determining at least one contained targeted data entry. The method further includes determining a subset of targeted data entries each having a confidence score below a threshold confidence score and removing at least one targeted data entry. The method includes converting remaining targeted data entries of the plurality of targeted data entries to anonymized data entries.
    Type: Application
    Filed: September 30, 2024
    Publication date: April 2, 2026
    Inventors: Veli Engin Bozdag, Daniel Eynis, Nimish Gupta, Mohammad Kamrul Islam, Lei Sun