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I am Yulong Cao [cv], a third year Ph.D student at the Computer Science and Engineering department of University of Michigan. Prior to UMich, I was an undergraduate student at Shanghai Jiao Tong University.

I love to be as a researcher. I am also honored to be a member of Robustnet Lab advised by Prof. Mao. My research interests span system security, sensor security and deep learning.

Autonomous driving systems have gain a lot of attention through the recent years. However, the security/privacy of them are not well studied yet. The perception of the autonomous driving system is considered as one of the most crucial components as it helps the system to understand the surroundings of the vehicle. I am interested in understanding whether the perception system is exploitable and how to make it more robust if so.

Besides research, I also find photography another lens to observe the world better. Check out my gallery or my instagram to find more!


Jiachen Sun, Yulong Cao, Qi Alfred Chen, and Z. Morley Mao “Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures “ (USENIX’20) [Webpage] [PDF]

Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, and Z. Morley Mao “Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving” (CCS’19) [Webpage] [PDF] [Forbes]

Qi Alfred Chen, Matthew Thomas, Eric Osterweil, Yulong Cao, Jie You, Z. Morley Mao “Client-side Name Collision Vulnerability in the New gTLD Era: A Systematic Study” (CCS’17) [PDF]


Yulong Cao*, Chaowei Xiao*, Dawei Yang*, Jing Fang, Ruigang Yang, Mingyan Liu, Bo Li “Adversarial Objects Against LiDAR-Based Autonomous Driving Systems” [Webpage] [PDF]