A Visual Context Aware Solution for Protecting Mobile Users from Visual Privacy Attacks

With the increasing use of mobile devices in public spaces, users are becoming increasingly vulnerable to visual privacy attacks, commonly known as shoulder surfing. These attacks enable bystanders to visually extract sensitive information from screens without authorization. In this work, we introduce a novel context-aware framework that leverages mobile device camera sensors and bystander positions to detect and prevent visual privacy attacks. Specifically, we present: a reactive system that detects nearby intruders using the front-facing camera and alerts users in real-time, and a proactive text reader that dynamically adjusts content visibility to thwart unauthorized viewing. Our experimental evaluation demonstrates the robustness of our system in varied real-world scenarios. This work lays the groundwork for intelligent, user-friendly visual privacy protection on…