Papers
1
Total Citations
25
H-Index
1
About
Yueyan Zhi is a leading researcher in the security of autonomous systems, with a primary focus on the vulnerabilities of vision sensors in drones, robots, and self-driving vehicles. Her most-cited work, "Remote Attacks on Drones Vision Sensors: An Empirical Study" (2021, 25 citations), provides a groundbreaking empirical analysis of how malicious input attacks can compromise camera-based perception systems. This study systematically demonstrates the practical risks of adversarial attacks on drone vision, revealing how attackers can remotely manipulate sensor data to cause catastrophic failures in navigation and object detection. Zhi's contributions are pivotal in bridging the gap between theoretical cybersecurity research and real-world autonomous system safety. By exposing the fragility of vision sensors—a core component of modern automation—her work has directly influenced the development of more robust defense mechanisms. Her research is essential reading for engineers and academics working on secure AI and robotics, highlighting the urgent need for sensor-level security in an increasingly automated world.
Research Focus
Key Achievements
Top Papers
- 1Remote Attacks on Drones Vision Sensors: An Empirical Study25 citations · 2021