Yulong Cao  

 



  ![](/sites/default/files/person/E04MHQAEP1A-U02VAGQLC4D-201813c6fda4-512.jpg)

  

 I am Yulong Cao, a research scientist at the NVIDIA Autonomous Vehicle Research group directed by [Marco Pavone](https://research.nvidia.com/person/marco-pavone). My research interests span machine learning security, sensor security, and system security. My research goal is to build secure and safe autonomous driving systems that is aligned with human. I completed my Ph.D from the Computer Science and Engineering department of [University of Michigan](https://www.eecs.umich.edu/cse/), advised by [Morley Mao](http://web.eecs.umich.edu/~zmao/). Before that, I also received my B.S from both [University of Michigan](https://www.eecs.umich.edu/cse/) and [Shanghai Jiao Tong University](http://www.sjtu.edu.cn/).



   Research Area(s)

[Autonomous Vehicles](/research-area/autonomous-vehicles)

 

 

  

 Main Field of Interest

[Autonomous Vehicles](/research-area/autonomous-vehicles)

 

  

 Google Scholar

<https://scholar.google.com/citations?user=uclqBzgAAAAJ>

 

  

 

 

 



 ### Publications

 

### 2022 

[Robust Trajectory Prediction against Adversarial Attacks](/publication/2022-12_robust-trajectory-prediction-against-adversarial-attacks)

[Yulong Cao](/person/yulong-cao), [Danfei Xu](/person/danfei-xu), [Xinshuo Weng](/person/xinshuo-weng), Z. Morely Mao, Anima Anandkumar, [Chaowei Xiao](/person/chaowei-xiao), [Marco Pavone](/person/marco-pavone)



[Conference on Robot Learning (CoRL) 2022](https://corl2022.org/)



Selected for Oral Presentation





[AdvDO: Realistic Adversarial Attacks for Trajectory Prediction](/publication/2022-10_advdo-realistic-adversarial-attacks-trajectory-prediction)

[Yulong Cao](/person/yulong-cao), [Chaowei Xiao](/person/chaowei-xiao), Anima Anandkumar, [Danfei Xu](/person/danfei-xu), [Marco Pavone](/person/marco-pavone)



[European Conference on Computer Vision (ECCV) 2022](https://eccv2022.ecva.net/)