Junghwan Rhee

Papers

Total Citations

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About

Junghwan Rhee is a leading researcher in cybersecurity and cyber-physical systems, with a particular focus on the safety and reliability of autonomous robotic vehicles. His most impactful work, "RVFuzzer: Finding Input Validation Bugs in Robotic Vehicles through Control-Guided Testing," has garnered 39 citations and represents a critical advance in automated vulnerability discovery. Rhee pioneered a control-guided fuzzing approach that systematically identifies input validation flaws in robotic systems—bugs that could lead to catastrophic failures in autonomous drones, self-driving cars, or industrial robots. By integrating domain-specific knowledge of vehicle dynamics and control logic into the testing process, his methodology dramatically improves the efficiency of bug detection compared to traditional fuzzing techniques. This work has direct implications for securing real-world autonomous systems against both accidental malfunctions and malicious attacks. Rhee’s contributions are particularly notable for bridging the gap between theoretical software testing and practical cyber-physical safety, making his research essential reading for engineers and researchers working on resilient autonomous platforms. His findings continue to influence the development of safer robotic systems across transportation, manufacturing, and defense sectors.