Abstract: A machine trains an artificial intelligence engine to facilitate authentication of a request to verify a user. The machine accesses a reference set of obfuscated geolocations generated from actual geolocations from which a device submitted requests to verify the user. The machine groups the obfuscated geolocations into geographical clusters based on a predetermined cluster radius value and calculates a corresponding representative geolocation for each geographical cluster and a corresponding variance distance from the representative geolocation for each geographical cluster. The machine then generates a reference location score based on the representative geolocations of the geographical clusters and on the variance distances of the geographical clusters. The machine trains an artificial intelligence engine to output that reference location score in response to the reference set being input thereto. The trained artificial intelligence engine may then be provided to one or more devices.

Abstract: A device authenticates a request to verify a user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation at which the device captured the face image and inputs the face image and the geolocation into an artificial intelligence engine that outputs a face score, a device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.

Abstract: A device authenticates a request to verify a user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation at which the device captured the face image and inputs the face image and the geolocation into an artificial intelligence engine that outputs a face score, a device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.

Abstract: A device authenticates a request to verify a user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation at which the device captured the face image and inputs the face image and the geolocation into an artificial intelligence engine that outputs a face score, a device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.

Abstract: A machine trains an artificial intelligence engine to facilitate authentication of a request to verify a user. The machine accesses a reference set of obfuscated geolocations generated from actual geolocations from which a device submitted requests to verify the user. The machine groups the obfuscated geolocations into geographical clusters based on a predetermined cluster radius value and calculates a corresponding representative geolocation for each geographical cluster and a corresponding variance distance from the representative geolocation for each geographical cluster. The machine then generates a reference location score based on the representative geolocations of the geographical clusters and on the variance distances of the geographical clusters. The machine trains an artificial intelligence engine to output that reference location score in response to the reference set being input thereto. The trained artificial intelligence engine may then be provided to one or more devices.

Abstract: A machine trains an artificial intelligence engine to facilitate authentication of a request to verify a user. The machine accesses a reference set of obfuscated geolocations generated from actual geolocations from which a device submitted requests to verify the user. The machine groups the obfuscated geolocations into geographical clusters based on a predetermined cluster radius value and calculates a corresponding representative geolocation for each geographical cluster and a corresponding variance distance from the representative geolocation for each geographical cluster. The machine then generates a reference location score based on the representative geolocations of the geographical clusters and on the variance distances of the geographical clusters. The machine trains an artificial intelligence engine to output that reference location score in response to the reference set being input thereto. The trained artificial intelligence engine may then be provided to one or more devices.

Abstract: A device authenticates a request to verify a user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation at which the device captured the face image and inputs the face image and the geolocation into an artificial intelligence engine that outputs a face score, a device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.

Abstract: A device authenticates a request to user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation which the device captured the face image and puts the face image and the geolocation into an artificial intelligence engine that outputs a face score, device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.

Abstract: A device authenticates a request to user. The device accesses a face image that depicts a face of the person and includes a characteristic noise pattern inserted by a camera of the device. The device also accesses a geolocation which the device captured the face image and puts the face image and the geolocation into an artificial intelligence engine that outputs a face score, device score, and a location score. The device next submits the request with the scores to a server machine and obtains an authentication score from the server machine. The device then presents an indication that the request to verify the person is authentic based on a comparison of the obtained authentication score to a threshold authentication score.

Abstract: A machine trains an artificial intelligence engine to facilitate authentication of a request to verify a user. The machine accesses a reference set of obfuscated geolocations generated from actual geolocations from which a device submitted requests to verify the user. The machine groups the obfuscated geolocations into geographical clusters based on a predetermined cluster radius value and calculates a corresponding representative geolocation for each geographical cluster and a corresponding variance distance from the representative geolocation for each geographical cluster. The machine then generates a reference location score based on the representative geolocations of the geographical clusters and on the variance distances of the geographical clusters. The machine trains an artificial intelligence engine to output that reference location score in response to the reference set being input thereto. The trained artificial intelligence engine may then be provided to one or more devices.