Patents by Inventor Mengjun Leng

Mengjun Leng 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: 20220159035
    Abstract: Described herein are a system and techniques for detecting whether biometric data provided in an access request is genuine or a replay. In some embodiments, the system uses an machine learning model trained using genuine and replay sample data which is optimized in order to produce a result set in which results for the genuine samples are pulled closer to a genuine center and results for the replay samples are pushed away from the genuine center. Subjecting input biometric data (e.g., an audio sample) to the trained model results in a classification of the input biometric data as genuine or replay, which can then be used to determine whether or not to verify the input biometric data.
    Type: Application
    Filed: February 1, 2022
    Publication date: May 19, 2022
    Inventors: Mengjun Leng, Sunpreet Singh Arora, Kim Wagner
  • Patent number: 11303671
    Abstract: Described herein are a system and techniques for detecting whether biometric data provided in an access request is genuine or a replay. In some embodiments, the system uses an machine learning model trained using genuine and replay sample data which is optimized in order to produce a result set in which results for the genuine samples are pulled closer to a genuine center and results for the replay samples are pushed away from the genuine center. Subjecting input biometric data (e.g., an audio sample) to the trained model results in a classification of the input biometric data as genuine or replay, which can then be used to determine whether or not to verify the input biometric data.
    Type: Grant
    Filed: August 8, 2019
    Date of Patent: April 12, 2022
    Assignee: Visa International Service Association
    Inventors: Mengjun Leng, Sunpreet Singh Arora, Kim Wagner
  • Publication number: 20200053118
    Abstract: Described herein are a system and techniques for detecting whether biometric data provided in an access request is genuine or a replay. In some embodiments, the system uses an machine learning model trained using genuine and replay sample data which is optimized in order to produce a result set in which results for the genuine samples are pulled closer to a genuine center and results for the replay samples are pushed away from the genuine center. Subjecting input biometric data (e.g., an audio sample) to the trained model results in a classification of the input biometric data as genuine or replay, which can then be used to determine whether or not to verify the input biometric data.
    Type: Application
    Filed: August 8, 2019
    Publication date: February 13, 2020
    Inventors: Mengjun Leng, Sunpreet Singh Arora, Kim Wagner