Jun Han

Papers

Total Citations

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About

Jun Han is a leading researcher in computer security and privacy, with a particular focus on exploiting unexpected side-channels in everyday smart devices. His work reveals how seemingly innocuous sensors can be weaponized for invasive attacks, most notably through acoustic eavesdropping. Han’s landmark paper, “Spying with your robot vacuum cleaner” (2020, 83 citations), introduced LidarPhone, a novel attack that leverages a robot vacuum’s lidar sensor to reconstruct private conversations by analyzing reflected laser signals. This groundbreaking research demonstrated that even devices without microphones can be turned into listening tools, exposing a critical vulnerability in the Internet of Things. A subsequent paper, “LidarPhone: acoustic eavesdropping using a lidar sensor” (2020, 11 citations), further refined the technique, showing how lidar data can be processed to capture speech with surprising clarity. Han’s contributions have been widely recognized for their creativity and real-world implications, earning him a reputation as a pioneer in sensor-based privacy attacks. His work serves as a stark warning for the design of future smart home systems, emphasizing the need for robust security measures beyond traditional defenses.