Yulong Shen

Papers

Total Citations

H-Index

About

Yulong Shen is a leading researcher in the security of autonomous systems, with a particular focus on the vulnerabilities of autopilot technologies in robotic vehicles. His work critically examines the intersection of hardware and software security, exposing how these integrated systems can be exploited. His most cited paper, "SEBD: Sensor Emulation Based Backdoor for Autopilot," introduces a novel backdoor attack that leverages sensor emulation, demonstrating a sophisticated method to compromise vehicle control without physical tampering. This contribution has been pivotal in highlighting the often-overlooked attack surface of sensor networks in autonomous driving. With over 2 citations on this work alone, Shen's research is gaining traction among security and robotics communities. His findings serve as a crucial warning for the design of resilient autopilot systems, urging the development of robust defenses against such stealthy threats. Shen’s work is essential reading for anyone interested in the safety and security of next-generation autonomous vehicles.