Shaoyuan Xie

I am a Ph.D. student in the Donald Bren School of Information and Computer Sciences at University of California, Irvine advised by Prof. Alfred Chen. I received my B.Eng. degree in Automation at Huazhong University of Science and Technology.

My research focuses on the intersection of Machine Learning, Security, and Cyber-Physical System (e.g., autonomous vehicles, drones), highlighting the security, robustness, and reliability of AI systems in the physical world.

Email  /  CV  /  Google Scholar  /  Twitter  /  Github

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News
  • [08/2025] - Two papers are accepted by NDSS 2026.
  • [06/2025] - One paper is accepted by ICCV 2025.
  • [04/2025] - I will join Mercedes-Benz Logo MBRDNA as a Research Intern in summer 2025.
  • [01/2025] - One paper is accepted by T-PAMI.
  • [01/2025] - One paper is accepted by ICLR 2025.
  • [08/2024] - One paper is accepted by NDSS 2025.
  • [12/2023] - One paper is accepted by TMLR.


Selected Publications

FlyTrap: Physical Distance-Pulling Attack Towards Camera-based Autonomous Target Tracking Systems
Shaoyuan Xie, Mohamad Fakih, Junchi Lu, Fayzah Alshammari, Ningfei Wang, Takami Sato, Halima Bouzidi, Mohammad Al Faruque, Qi Alfred Chen
Network and Distributed System Security Symposium (NDSS), 2026

code  /  project

The Heat is On: Understanding and Mitigating Vulnerabilities of Thermal Image Perception in Autonomous Systems
Hrushikesh Varma, Shaoyuan Xie, Michael Clifford, Qi Alfred Chen, Takeshi Sugawara, Sara Rampazzi
Network and Distributed System Security Symposium (NDSS), 2026

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
Shaoyuan Xie, Lingdong Kong, Yuhao Dong, Chonghao Sima, Wenwei Zhang, Qi Alfred Chen, Ziwei Liu, Liang Pan
International Conference on Computer Vision (ICCV), 2025

paper  /  code  /  project

Exploring Backdoor Attacks against Large Language Model-based Decision Making
Ruochen Jiao*, Shaoyuan Xie*, Justin Yue, Takami Sato, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu
* Equal Contribution
International Conference on Learning Representations (ICLR), 2025

paper  /  code  /  project

Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)

paper  /  code  /  project

Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective
Ningfei Wang, Shaoyuan Xie, Takami Sato, Yunpeng Luo, Kaidi Xu, Qi Alfred Chen
Network and Distributed System Security Symposium (NDSS), 2025

paper  /  project

Benchmarking Out-of-Distribution Depth Estimation under Corruptions
Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Benoit Cottereau, Lai Xing Ng, Wei Tsang Ooi
Conference on Neural Information Processing Systems (NeurIPS), 2023

paper  /  code  /  project

On the Adversarial Robustness of Camera-based 3D Object Detection
Shaoyuan Xie, Zichao Li, Zeyu Wang, Cihang Xie
Transactions on Machine Learning Research (TMLR), 2023

paper  /  code


Workshop Organizer

The RoboSense Challenge
IROS Workshop, 2025

The RoboDrive Challenge
ICRA Workshop, 2024

The RoboDepth Challenge
ICRA Workshop, 2023


Experience

Mercedes-Benz Research & Development North America
Research Intern
June 2025 - September 2025
Mentor: Thomas Monninger, Sihao Ding

OpenMMLab at Shanghai AI Lab
Research Intern
June 2023 - August 2023
Mentor: Wenwei Zhang, Kai Chen

Johns Hopkins University (CCVL)
Research Intern
Summer 2022
Mentor: Cihang Xie, Alan Yuille

UC Santa Cruz (VLAA Lab)
Research Intern
Summer 2022
Mentor: Cihang Xie



Honors and Awards
  • Best Demo Award, USENIX VehicleSec 2025.
  • Dean's Fellowship, UC Irvine, 2023.
  • Honours Degrees, HUST (Top 3%), 2023.
  • National Scholarship, (Top 0.2% national-wide), 2020 and 2021.
  • Outstanding Undergraduate Student, HUST (Top 1%), 2020.


Professional Services

Program Committee

  • ACM CCS: ACM Conference on Computer and Communications Security (Artifact Evaluation), 2024, 2025
  • NDSS: Network and Distributed System Security Symposium (Artifact Evaluation), 2026

Reviewer

  • CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023, 2024, 2025
  • ICCV: IEEE/CVF International Conference on Computer Vision, 2025
  • TMLR: Transactions on Machine Learning Research

External Reviewer

  • USENIX Security: USENIX Security Symposium, 2024, 2025
  • IEEE S&P: IEEE Symposium on Security and Privacy, 2024
  • ACM CCS: ACM Conference on Computer and Communications Security, 2024


Teaching
  • Teaching Assistant: COMPSCI 31, Introduction to Programming, 2023 Fall



Stolen from Jon Barron