Patents by Inventor Jonathan Leventis

Jonathan Leventis 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).

  • Detection of anomalous behavior on online platforms using machine learning techniques
    Patent number: 12294601
    Abstract: Methods, apparatus, and processor-readable storage media for detection of anomalous behavior on online platforms using machine learning techniques are provided herein. An example method includes obtaining a set of machine learning models configured to detect anomalous behavior associated with users interacting with an online platform and performing an incremental machine learning process on one or more of the machine learning models in the set. The incremental machine learning process may include obtaining data related to interactions of users with the online platform, updating at least one of the machine learning models in the set based on the obtained data, comparing the machine learning models, and selecting one of the machine learning models from the set to be used by the online platform based on the comparison. The method may further include determining, utilizing the selected machine learning model, that a given user is exhibiting anomalous behavior on the online platform.
    Type: Grant
    Filed: June 16, 2023
    Date of Patent: May 6, 2025
    Assignee: Dell Products L.P.
    Inventors: Tanuj Arcot Omkar, Rodrigo de Souza Scorsatto, Aravind Reddy Lakkadi, Jonathan Leventis, Kasey Mallette, Vinicius Facco Rodrigues, Rodrigo da Rosa Righi, Lucas Micol Policarpo, Thaynã da Silva França, Jorge Luis Victória Barbosa, Rodolfo Stoffel Antunes, Cristiano André da Costa
  • DETECTION OF ANOMALOUS BEHAVIOR ON ONLINE PLATFORMS USING MACHINE LEARNING TECHNIQUES
    Publication number: 20240422184
    Abstract: Methods, apparatus, and processor-readable storage media for detection of anomalous behavior on online platforms using machine learning techniques are provided herein. An example method includes obtaining a set of machine learning models configured to detect anomalous behavior associated with users interacting with an online platform and performing an incremental machine learning process on one or more of the machine learning models in the set. The incremental machine learning process may include obtaining data related to interactions of users with the online platform, updating at least one of the machine learning models in the set based on the obtained data, comparing the machine learning models, and selecting one of the machine learning models from the set to be used by the online platform based on the comparison. The method may further include determining, utilizing the selected machine learning model, that a given user is exhibiting anomalous behavior on the online platform.
    Type: Application
    Filed: June 16, 2023
    Publication date: December 19, 2024
    Inventors: Tanuj Arcot Omkar, Rodrigo de Souza Scorsatto, Aravind Reddy Lakkadi, Jonathan Leventis, Kasey Mallette, Vinicius Facco Rodrigues, Rodrigo da Rosa Righi, Lucas Micol Policarpo, Thaynã da Silva França, Jorge Luis Victória Barbosa, Rodolfo Stoffel Antunes, Cristiano André da Costa