Patents by Inventor DANIEL L. BURKE

DANIEL L. BURKE 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: 20240045928
    Abstract: There is disclosed a method and system therefor, the method for validating a machine learning (ML) model, wherein the ML model is a binary classifier, the method including training the ML model on a training set comprising labeled objects from a first class and a second class; and validating the ML model on a training set, wherein the training set comprises at least some unlabeled objects, and for unlabeled objects, using an estimated classification as a proxy for a known label, wherein the estimated classification is based on computing a smallest distance to respective known feature vector clusters for the first and second classes.
    Type: Application
    Filed: August 4, 2022
    Publication date: February 8, 2024
    Applicant: McAfee, LLC
    Inventor: Daniel L. Burke
  • Patent number: 11438170
    Abstract: There is disclosed in one example a digital video camera, including: an analog picture element; an analog-to-digital converter (ADC) to digitize input from the analog picture element; a three-dimensional (3D) scanner; compiling logic to compile the digitized input into a video stream; and insertion logic to insert interstitial 3D scene data into the video stream.
    Type: Grant
    Filed: February 28, 2020
    Date of Patent: September 6, 2022
    Assignee: McAfee, LLC
    Inventor: Daniel L. Burke
  • Patent number: 11399033
    Abstract: There is disclosed in one example an advertisement reputation server, including: a hardware platform including a processor and a memory; a network interface; and an advertisement reputation engine including instructions encoded in memory to instruct the processor to: receive via the network interface a plurality of advertisement instances displayed on client devices; extract from the advertisement instances an advertiser identifier; analyze one or more advertisements associated with the advertiser identifier to assign an advertiser reputation; and publish via the network interface advertisement reputation information derived from the reputation for the advertisement identifier.
    Type: Grant
    Filed: June 25, 2019
    Date of Patent: July 26, 2022
    Assignee: McAfee, LLC
    Inventors: Joel R. Spurlock, Nikhil Meshram, Prashanth Palasamudram Ramagopal, Daniel L. Burke
  • Publication number: 20210273811
    Abstract: There is disclosed in one example a digital video camera, including: an analog picture element; an analog-to-digital converter (ADC) to digitize input from the analog picture element; a three-dimensional (3D) scanner; compiling logic to compile the digitized input into a video stream; and insertion logic to insert interstitial 3D scene data into the video stream.
    Type: Application
    Filed: February 28, 2020
    Publication date: September 2, 2021
    Applicant: McAfee, LLC
    Inventor: Daniel L. Burke
  • Publication number: 20200412744
    Abstract: There is disclosed in one example an advertisement reputation server, including: a hardware platform including a processor and a memory; a network interface; and an advertisement reputation engine including instructions encoded in memory to instruct the processor to: receive via the network interface a plurality of advertisement instances displayed on client devices; extract from the advertisement instances an advertiser identifier; analyze one or more advertisements associated with the advertiser identifier to assign an advertiser reputation; and publish via the network interface advertisement reputation information derived from the reputation for the advertisement identifier.
    Type: Application
    Filed: June 25, 2019
    Publication date: December 31, 2020
    Applicant: McAfee, LLC
    Inventors: Joel R. Spurlock, Nikhil Meshram, Prashanth Palasamudram Ramagopal, Daniel L. Burke
  • Patent number: 10824723
    Abstract: Particular embodiments described herein provide for an electronic device that can be configured to identify a binary file, identify strings in the binary file, determine that at least one string in the binary file is larger than one kilobytes of data, identify at least one substring from each of the at least one strings in the binary file is larger than one kilobytes of data, and analyze each of the at least one substrings to determine if each of the at least one substrings are suspicious and related to malware.
    Type: Grant
    Filed: September 26, 2018
    Date of Patent: November 3, 2020
    Assignee: McAfee, LLC
    Inventor: Daniel L. Burke
  • Publication number: 20200097656
    Abstract: Particular embodiments described herein provide for an electronic device that can be configured to identify a binary file, identify strings in the binary file, determine that at least one string in the binary file is larger than one kilobytes of data, identify at least one substring from each of the at least one strings in the binary file is larger than one kilobytes of data, and analyze each of the at least one substrings to determine if each of the at least one substrings are suspicious and related to malware.
    Type: Application
    Filed: September 26, 2018
    Publication date: March 26, 2020
    Applicant: McAfee, LLC
    Inventor: Daniel L. Burke
  • Publication number: 20150257374
    Abstract: Systems directed to the art of setting a hook in a fish mouth have an activation member assembly removably interfaced with a spring-loaded plunger assembly. A fish hook is attached via fishing lines to both the activation member assembly and the plunger assembly. Pulling the hook releases the plunger assembly from the activation member assembly and pulls the line attached to the plunger assembly, setting the hook in the fish's mouth.
    Type: Application
    Filed: March 13, 2015
    Publication date: September 17, 2015
    Applicant: DOUBLE CATCH LURES, LLC
    Inventors: PETER J. DREES, ANDREW M. SMITH, DANIEL L. BURKE