Element Inc.

Fengjun Lv

Dushyant Goyal

Yang Wang

Adam Perold

Yann Andre LeCun

Yann Lecun

Provided herein is are computer-implemented methods, computer-implemented systems, and non-transitory computer-readable storage media for registering a user's eye gaze profile via a mobile device having a screen and a front facing camera. Also provided herein is are computer-implemented methods, computer-implemented systems, and non-transitory computer-readable storage media for determining a spoofing attempt by a user during a request to access a resource via a mobile device.

Methods, systems, and media for anti-spoofing using eye-tracking

Provided herein are devices, systems, and methods for detecting spoofing of a 3D object, using a 2D representation, in a mobile object authentication process, comprising capturing image data of the 3D object by a front-facing camera, to record a current spatial characteristic of the 3D object, while a front-facing screen displays an authentication pattern comprising a plurality of regions, wherein at least one of the regions varies in at least one of: brightness, position, size, shape, and color over time causing a variance of lighting effects which create highlights and shadows on the 3D object over time. The devices, systems, and methods thereby provide an efficient and secure process for determining if spoofing of the 3D object, using a 2D representation, is attempted in a mobile authentication process, by comparing the current spatial characteristic of the 3D object with a stored reference spatial characteristic of the 3D object.

Methods, systems, and media for detecting spoofing in mobile authentication

Described are methods, systems, and medias for detecting spoofing of biometric identity recognition and/or validating an identity recognition match by using the camera of a mobile device, processing the user's face image or set of images at a first and second distance to generate first and second data representations, processing the first data representation into a predictive model, and comparing the data representation with the predictive model.

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Plainsboro, NJ, United States of America

Fengjun Lv