Patents by Inventor Brendan WEIBEL

Brendan WEIBEL 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: 20250021464
    Abstract: Method and system for analyzing at least one computing system to determine attributes of software within computing systems, includes: loading input data representing or pertaining to the software of the computing system; loading and executing at least two individual analyses on the data format of the software of the input data; generating an individual analysis result for each of the at least two individual analyses; loading and executing multi-layer/multi-data format analysis on the individual analysis results; generating multi-layer and/or multi-data format analysis result indicating an additional attribute being different from the attributes indicated by the first and second ones of the individual analysis results; generating an output data describing the individual analysis results and/or the multi-layer and/or multi-data format analysis result; storing the output data; and determining if the output data satisfies a predetermined condition, and if so, executing action corresponding to the output data on t
    Type: Application
    Filed: July 12, 2024
    Publication date: January 16, 2025
    Applicant: ObjectSecurity LLC
    Inventors: Ulrich LANG, Reza FATAHI, Brendan WEIBEL, Holmes CHUANG
  • Publication number: 20240202405
    Abstract: Method and system for analyzing a computing system for properties of a machine learning model in the computing system include loading input data for the machine learning model; generating a surrogate model that simulates the behavior and/or characteristics, or an approximation of the behavior and/or the characteristics of the machine learning model, by using segments or an entirety of the loaded input data; adjusting the input data and/or the surrogate model to enable an analysis; loading and executing the analysis of a correlation between inputs and outputs of the surrogate model to identify a result pertaining to the input data and/or the machine learning model; generating an output data describing the result; storing the output data pertaining to the result in the memory; determining if the result satisfies a predetermined condition, and if so, executing an action corresponding to the result on the computing system.
    Type: Application
    Filed: May 12, 2023
    Publication date: June 20, 2024
    Applicant: ObjectSecurity LLC
    Inventors: Ulrich LANG, Reza FATAHI, Jason KRAMER, Brendan WEIBEL