| Robodepth: Robust out-of-distribution depth estimation under corruptions L Kong, S Xie, H Hu, LX Ng, BR Cottereau, WT Ooi Advances in Neural Information Processing Systems (NeurIPS), 2023 | 111 | 2023 |
| Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives S Xie, L Kong, Y Dong, C Sima, W Zhang, QA Chen, Z Liu, L Pan IEEE/CVF International Conference on Computer Vision (ICCV), 2025 | 87* | 2025 |
| RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions S Xie, L Kong, W Zhang, J Ren, L Pan, K Chen, Z Liu arXiv preprint arXiv:2304.06719, 2023 | 76 | 2023 |
| Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving S Xie, L Kong, W Zhang, J Ren, L Pan, K Chen, Z Liu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 | 72* | 2025 |
| The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition L Kong, S Xie, H Hu, Y Niu, WT Ooi, BR Cottereau, LX Ng, Y Ma, W Zhang, ... ICRA Workshop Technique Report, 2024 | 54 | 2024 |
| The robodepth challenge: Methods and advancements towards robust depth estimation L Kong, Y Niu, S Xie, H Hu, LX Ng, BR Cottereau, D Zhao, L Zhang, ... ICRA Workshop Technique Report, 2023 | 50* | 2023 |
| Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems R Jiao*, S Xie*, J Yue, T Sato, L Wang, Y Wang, QA Chen, Q Zhu International Conference on Learning Representations (ICLR), 2025 | 46* | 2025 |
| On the Adversarial Robustness of Camera-based 3D Object Detection S Xie, Z Li, Z Wang, C Xie Transactions on Machine Learning Research (TMLR), 2024 | 30 | 2024 |
| The RoboSense challenge: Sense anything, navigate anywhere, adapt across platforms L Kong, S Xie, Z Gong, Y Li, M Chu, A Liang, Y Dong, T Hu, R Qiu, R Li, ... arXiv preprint arXiv:2601.05014, 2026 | 19 | 2026 |
| Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective N Wang, S Xie, T Sato, Y Luo, K Xu, QA Chen Network and Distributed System Security (NDSS) Symposium, 2024 | 14 | 2024 |
| " Prompter Says": A Linguistic Approach to Understanding and Detecting Jailbreak Attacks Against Large-Language Models D Lee, S Xie, S Rahman, K Pat, D Lee, QA Chen Proceedings of the 1st ACM Workshop on Large AI Systems and Models with …, 2024 | 11 | 2024 |
| FlyTrap: Physical Distance-Pulling Attack Towards Camera-based Autonomous Target Tracking Systems S Xie, HM Fakih, J Lu, F Alshammari, N Wang, T Sato, H Bouzidi, ... Network and Distributed System Security (NDSS) Symposium, 2025 | 1 | 2025 |
| CPExploiter: from Cyber to Physical: Understanding the End-to-End Physical Attack Capability of Cyber-Attacks on Robotic Vehicles F Alshammari, D Kandula, MH Fakih, S Xie, M Al Faruque, A Chen USENIX Symposium on Vehicle Security and Privacy (VehicleSec), 2025 | | 2025 |
| Synthesizing and Deploying 2D Image Spoofing Attacks Against Vision-Based Autonomous Driving Systems LC Cheng, SHV Bhupathiraju, S Xie, M Clifford, S Rampazzi, QA Chen USENIX Symposium on Vehicle Security and Privacy (VehicleSec), 2025 | | 2025 |
| PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting E Feldman, J Shams, D Biton, A Chen, S Xie, S Koda, Y Mirsky, A Shabtai, ... arXiv preprint arXiv:2505.05183, 2025 | | 2025 |
| Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data and Metric Perspectives–Supplementary Material– S Xie, L Kong, Y Dong, C Sima, W Zhang, QA Chen, Z Liu, L Pan | | |
Lingdong KongNational University of SingaporeVerified email at u.nus.edu
