Invention Application
- Patent Title: SYSTEMS AND METHODS FOR SECURE AUTHENTICATION BASED ON MACHINE LEARNING TECHNIQUES
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Application No.: US17934273Application Date: 2022-09-22
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Publication No.: US20230009298A1Publication Date: 2023-01-12
- Inventor: Sumanth S. Mallya , Corbin Pierce Moline , Saravanan Mallesan
- Applicant: Verizon Patent and Licensing Inc.
- Applicant Address: US NJ Basking Ridge
- Assignee: Verizon Patent and Licensing Inc.
- Current Assignee: Verizon Patent and Licensing Inc.
- Current Assignee Address: US NJ Basking Ridge
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G10L17/06 ; G10L17/18 ; G06N3/04 ; G06F21/32 ; G06V40/16 ; G06V40/12

Abstract:
A system described herein may provide a technique for the use of machine learning techniques to perform authentication, such as biometrics-based user authentication. For example, user biometric information (e.g., facial features, fingerprints, voice, etc.) of a user may be used to train a machine learning model, in addition to a noise vector. A representation of the biometric information (e.g., an image file including a picture of the user's face, an encoded file with vectors or other representation of the user's fingerprint, a sound file including the user's voice, etc.) may be iteratively transformed until the transformed biometric information matches the noise vector, and the machine learning model may be trained based on the set of transformations that ultimately yield the noise vector, when given the biometric information.
Public/Granted literature
- US11837239B2 Systems and methods for secure authentication based on machine learning techniques Public/Granted day:2023-12-05
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