Papers
2
Total Citations
29
H-Index
2
About
Xu Yuan is a leading researcher in the security of cyber-physical systems, with a particular focus on sensor spoofing attacks against robotic vehicles. Their landmark work, "SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View," has garnered over 29 citations, establishing a foundational taxonomy that systematically categorizes and evaluates vulnerabilities across autonomous platforms. Yuan’s major contribution lies in identifying critical gaps in existing attack models—specifically, the lack of a unified framework to assess attack completeness and real-world feasibility. By rethinking how sensor spoofing (e.g., GPS, LiDAR, or camera deception) can be systematically analyzed, Yuan has provided both researchers and practitioners with a structured methodology to anticipate and mitigate emerging threats. This work is widely recognized as essential reading for anyone working on autonomous vehicle security, influencing subsequent studies on adversarial robustness. Yuan’s research not only advances theoretical understanding but also offers practical guidance for designing more resilient robotic systems, making them a pivotal voice in the ongoing effort to secure next-generation transportation and robotics.
Research Focus
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Top Papers
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