Papers
1
Total Citations
25
H-Index
1
About
Dr. Xingming Sun is a leading researcher in the security of cyber-physical systems, with a primary focus on the vulnerabilities of vision sensors in autonomous platforms. His most impactful work, "Remote Attacks on Drones Vision Sensors: An Empirical Study" (2021, 25 citations), provides a foundational empirical analysis of how malicious input can compromise the cameras of drones, automatic vehicles, and robots. This study systematically demonstrates the severe consequences of such attacks, highlighting critical security gaps in widely used sensing technologies. Dr. Sun’s contributions are pivotal in advancing the field of adversarial machine learning and sensor security, offering both a taxonomy of attack vectors and practical insights for defense mechanisms. His research has been instrumental in raising awareness about the fragility of vision-based systems in real-world applications, from commercial drones to autonomous navigation. By bridging the gap between theoretical vulnerabilities and empirical validation, Dr. Sun’s work continues to influence the design of more resilient autonomous systems, making him a key figure in the intersection of computer vision, robotics, and cybersecurity.
Research Focus
Key Achievements
Top Papers
- 1Remote Attacks on Drones Vision Sensors: An Empirical Study25 citations · 2021