Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identification management, are disclosed. In one aspect, a method includes the actions of receiving, at a given time, a request to verify an identity of a user and a location of the user. The actions further include, in response to the request to verify the identity of the user, identifying a computing device associated with the user. The actions further include determining a previous time and a previous location that computing device verified the identity of the user. The actions further include, based on the given time, the location of the user, the previous time, and the previous location, determining whether to output data verifying the identity of the user at the location.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a privacy manager are disclosed. In one aspect, a method includes the actions of receiving, from a client device, an indication of a first setting of the client device. The actions further include receiving, from the client device, an indication of a type of data that the client device is prepared to transmit. The actions further include, based on the first setting and the type of data, generating an instruction to adjust the first setting or a second setting of the client device. The actions further include, before the client device transmits the data, providing, for output to the client device, the instruction to adjust the first setting or the second setting of the client device.

Abstract: Systems and methods for privacy breach notification and protection enabled by the Internet of Things (IoT) are provided. Some embodiments establish a passive early warning privacy-breach detection from laser beam scan capability on a mobile device and IoT device when a particular owned object (or set of owned objects) has been laser scanned. Sensor information (e.g., laser beam sensing transparent adhesive tape, automotive cameras and proximity sensors) can be used to create notifications that allow a user to take action or to have peace of mind relating to particular activities such as to avoid fees and fines, to recover lost objects, to confirm known events, and to trigger activity.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a privacy manager are disclosed. In one aspect, a method includes the actions of receiving, from a client device, an indication of a first setting of the client device. The actions further include receiving, from the client device, an indication of a type of data that the client device is prepared to transmit. The actions further include, based on the first setting and the type of data, generating an instruction to adjust the first setting or a second setting of the client device. The actions further include, before the client device transmits the data, providing, for output to the client device, the instruction to adjust the first setting or the second setting of the client device.

Abstract: Systems and methods for aerial unmanned vehicle (for example, drone) early warning privacy breach detection, interception, and defense are disclosed. The system detects drones within a threshold distance of an individual or configurable location, notifies the individual of the drones' existence, tracks the drones, and executes countermeasures. The system can communicate with telecommunication networks or other sources (for example, FAA) to identify and filter out drones that are authorized to be in the airspace around the individual.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting modified media are disclosed. In one aspect, a method includes the actions of receiving an item of media content. The actions further include providing the item as an input to a model that is configured to determine whether the item likely includes audio of a user's voice that was not spoken by the user or likely includes video of the user that depicts actions of the user that were not performed by the user. The actions further include receiving, from the model, data indicating whether the item likely includes audio of the user's voice that was not spoken by the user or includes video of the user that depicts actions of the user that were not performed by the user. The actions further include determining whether the item likely includes deepfake content.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting modified media are disclosed. In one aspect, a method includes the actions of receiving an item of media content. The actions further include providing the item as an input to a model that is configured to determine whether the item likely includes audio of a user's voice that was not spoken by the user or likely includes video of the user that depicts actions of the user that were not performed by the user. The actions further include receiving, from the model, data indicating whether the item likely includes audio of the user's voice that was not spoken by the user or includes video of the user that depicts actions of the user that were not performed by the user. The actions further include determining whether the item likely includes deepfake content.

Abstract: A video stream from a user device that is destined for a recipient device is received at a core network of a wireless carrier network. The video stream has a video quality that at least meets a quality threshold for behavioral biometric analysis. A determination of whether a video privacy policy for the user device permits transmission of the video stream of the video quality to the recipient device is made. In response to the video privacy policy not permitting the transmission of the video stream of the video quality, the video quality of the video stream is downgraded to generate a downgraded video stream that prevents behavioral biometric analysis for transmission to the recipient device. However, in response to the video privacy policy permitting the transmission of the video stream of the video quality, the video stream of the video quality is transmitted to the recipient device.

Abstract: A request from a user device to register as a secure endpoint device of a secure local area network (LAN) is received by a wireless carrier network. A device type of the user device is identified by the network based on device identification information provided by the user device. A data protection policy that corresponds to the device type of the user device is sent to a secure endpoint application on the user device following a registration of the user device as a secure endpoint device by the network, in which the data protection policy includes an Access Point Name (APN). The user device allocated a network slice of the wireless carrier network that corresponds to the APN to the user device. Subsequently, a data file is transported from the user device to an additional secure endpoint device via the network slice that is allocated to the user device.

Abstract: Systems and methods for aerial unmanned vehicle (for example, drone) early warning privacy breach detection, interception, and defense are disclosed. The system detects drones within a threshold distance of an individual or configurable location, notifies the individual of the drones' existence, tracks the drones, and executes countermeasures. The system can communicate with telecommunication networks or other sources (for example, FAA) to identify and filter out drones that are authorized to be in the airspace around the individual.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identitying management, are disclosed. In one aspect, a method includes the actions of receiving, at a given time, a request to verify an identity of a user and a location of the user. The actions further include, in response to the request to verify the identity of the user, identifying a computing device associated with the user. The actions further include determining a previous time and a previous location that computing device verified the identity of the user. The actions further include, based on the given time, the location of the user, the previous time, and the previous location, determining whether to output data verifying the identity of the user at the location.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a privacy manager are disclosed. In one aspect, a method includes the actions of receiving, from a client device, an indication of a first setting of the client device. The actions further include receiving, from the client device, an indication of a type of data that the client device is prepared to transmit. The actions further include, based on the first setting and the type of data, generating an instruction to adjust the first setting or a second setting of the client device. The actions further include, before the client device transmits the data, providing, for output to the client device, the instruction to adjust the first setting or the second setting of the client device.

Abstract: Systems and methods for aerial unmanned vehicle (for example, drone) early warning privacy breach detection, interception, and defense are disclosed. The system detects drones within a threshold distance of an individual or configurable location, notifies the individual of the drones' existence, tracks the drones, and executes countermeasures. The system can communicate with telecommunication networks or other sources (for example, FAA) to identify and filter out drones that are authorized to be in the airspace around the individual.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting modified media are disclosed. In one aspect, a method includes the actions of receiving an item of media content. The actions further include providing the item as an input to a model that is configured to determine whether the item likely includes audio of a user's voice that was not spoken by the user or likely includes video of the user that depicts actions of the user that were not performed by the user. The actions further include receiving, from the model, data indicating whether the item likely includes audio of the user's voice that was not spoken by the user or includes video of the user that depicts actions of the user that were not performed by the user. The actions further include determining whether the item likely includes deepfake content.

Abstract: A video stream from a user device that is destined for a recipient device is received at a core network of a wireless carrier network. The video stream has a video quality that at least meets a quality threshold for behavioral biometric analysis. A determination of whether a video privacy policy for the user device permits transmission of the video stream of the video quality to the recipient device is made. In response to the video privacy policy not permitting the transmission of the video stream of the video quality, the video quality of the video stream is downgraded to generate a downgraded video stream that prevents behavioral biometric analysis for transmission to the recipient device. However, in response to the video privacy policy permitting the transmission of the video stream of the video quality, the video stream of the video quality is transmitted to the recipient device.

Abstract: Systems and methods for privacy breach notification and protection enabled by the Internet of Things (IoT) are provided. Some embodiments establish a passive early warning privacy-breach detection from laser beam scan capability on a mobile device and IoT device when a particular owned object (or set of owned objects) has been laser scanned. Sensor information (e.g., laser beam sensing transparent adhesive tape, automotive cameras and proximity sensors) can be used to create notifications that allow a user to take action or to have peace of mind relating to particular activities such as to avoid fees and fines, to recover lost objects, to confirm known events, and to trigger activity.

Abstract: Systems and methods for privacy breach notification and protection enabled by the Internet of Things (IoT) are provided. Some embodiments establish a passive early warning privacy-breach detection from laser beam scan capability on a mobile device and IoT device when a particular owned object (or set of owned objects) has been laser scanned. Sensor information (e.g., laser beam sensing transparent adhesive tape, automotive cameras and proximity sensors) can be used to create notifications that allow a user to take action or to have peace of mind relating to particular activities such as to avoid fees and fines, to recover lost objects, to confirm known events, and to trigger activity.

Abstract: A request from a user device to register as a secure endpoint device of a secure local area network (LAN) is received by a wireless carrier network. A device type of the user device is identified by the network based on device identification information provided by the user device. A data protection policy that corresponds to the device type of the user device is sent to a secure endpoint application on the user device following a registration of the user device as a secure endpoint device by the network, in which the data protection policy includes an Access Point Name (APN). The user device allocated a network slice of the wireless carrier network that corresponds to the APN to the user device. Subsequently, a data file is transported from the user device to an additional secure endpoint device via the network slice that is allocated to the user device.

Abstract: Systems and methods for aerial unmanned vehicle (for example, drone) early warning privacy breach detection, interception, and defense are disclosed. The system detects drones within a threshold distance of an individual or configurable location, notifies the individual of the drones' existence, tracks the drones, and executes countermeasures. The system can communicate with telecommunication networks or other sources (for example, FAA) to identify and filter out drones that are authorized to be in the airspace around the individual.

Abstract: Systems and methods for privacy breach notification and protection enabled by the Internet of Things (IoT) are provided. Some embodiments establish a passive early warning privacy-breach detection from laser beam scan capability on a mobile device and IoT device when a particular owned object (or set of owned objects) has been laser scanned. Sensor information (e.g., laser beam sensing transparent adhesive tape, automotive cameras and proximity sensors) can be used to create notifications that allow a user to take action or to have peace of mind relating to particular activities such as to avoid fees and fines, to recover lost objects, to confirm known events, and to trigger activity.