In many contexts, a user needs to display on-screen content on their personal devices to others. In such situations, there is a concern regarding the potential exposure of personal information when others view the device screen. This disclosure describes techniques to automatically modify displayed content on a user device based on the context to provide a privacy-secure user experience that is seamless and enables users to display their device screens to third-parties. With user permission, data from various device sensors are analyzed, e.g., using on-device machine learning models, to automatically detect situations in which a device screen may be viewable by a third-party. Alternatively, a user can activate privacy mode by simply turning the phone around so that it faces away from the user which can be detected based on data from device sensors, or by invoking a privacy-safe mode via the device user interface. Once it is determined that privacy-safe mode is to be invoked, on-device machine learning models are utilized with user permission to analyze the displayed content to detect and mask personal information. During the time the device screen is being viewed by a third-party, other device functionality is disabled to ensure user privacy
