Patents by Inventor Adrian Cadar

Adrian Cadar 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).

  • EFFICIENT STATISTICAL TECHNIQUES FOR DETECTING SENSITIVE DATA
    Publication number: 20240256704
    Abstract: A candidate attribute combination of a first data set is identified, such that the candidate attribute combination meets a data type similarity criterion with respect to a collection of data types of sensitive information for which the first data set is to be analyzed. A collection of input features is generated for a machine learning model from the candidate attribute combination, including at least one feature indicative of a statistical relationship between the values of the candidate attribute combination and a second data set. An indication of a predicted probability of a presence of sensitive information in the first data set is obtained using the machine learning model.
    Type: Application
    Filed: April 10, 2024
    Publication date: August 1, 2024
    Applicant: Amazon Technologies, Inc.
    Inventors: Aurelian Tutuianu, Daniel Voinea, Petru-Serban Cehan, Silviu Catalin Poede, Adrian Cadar, Marian-Razvan Udrea, Brent Gregory
  • Efficient statistical techniques for detecting sensitive data
    Patent number: 11983297
    Abstract: A candidate attribute combination of a first data set is identified, such that the candidate attribute combination meets a data type similarity criterion with respect to a collection of data types of sensitive information for which the first data set is to be analyzed. A collection of input features is generated for a machine learning model from the candidate attribute combination, including at least one feature indicative of a statistical relationship between the values of the candidate attribute combination and a second data set. An indication of a predicted probability of a presence of sensitive information in the first data set is obtained using the machine learning model.
    Type: Grant
    Filed: January 19, 2023
    Date of Patent: May 14, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Aurelian Tutuianu, Daniel Voinea, Petru-Serban Cehan, Silviu Catalin Poede, Adrian Cadar, Marian-Razvan Udrea, Brent Gregory
  • EFFICIENT STATISTICAL TECHNIQUES FOR DETECTING SENSITIVE DATA
    Publication number: 20230153462
    Abstract: A candidate attribute combination of a first data set is identified, such that the candidate attribute combination meets a data type similarity criterion with respect to a collection of data types of sensitive information for which the first data set is to be analyzed. A collection of input features is generated for a machine learning model from the candidate attribute combination, including at least one feature indicative of a statistical relationship between the values of the candidate attribute combination and a second data set. An indication of a predicted probability of a presence of sensitive information in the first data set is obtained using the machine learning model.
    Type: Application
    Filed: January 19, 2023
    Publication date: May 18, 2023
    Applicant: Amazon Technologies, Inc.
    Inventors: Aurelian Tutuianu, Daniel Voinea, Petru-Serban Cehan, Silviu Catalin Poede, Adrian Cadar, Marian-Razvan Udrea, Brent Gregory
  • Efficient statistical techniques for detecting sensitive data
    Patent number: 11599667
    Abstract: A candidate attribute combination of a first data set is identified, such that the candidate attribute combination meets a data type similarity criterion with respect to a collection of data types of sensitive information for which the first data set is to be analyzed. A collection of input features is generated for a machine learning model from the candidate attribute combination, including at least one feature indicative of a statistical relationship between the values of the candidate attribute combination and a second data set. An indication of a predicted probability of a presence of sensitive information in the first data set is obtained using the machine learning model.
    Type: Grant
    Filed: August 11, 2020
    Date of Patent: March 7, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Aurelian Tutuianu, Daniel Voinea, Petru-Serban Cehan, Silviu Catalin Poede, Adrian Cadar, Marian-Razvan Udrea, Brent Gregory