[
Pre-print
] VPA: Fully Test-Time Visual Prompt Adaptation
Jiachen Sun, Mark Ibrahim, Melissa Hall, Ivan Evtimov, Z. Morley Mao, Cristian Canton Ferrer, and Caner Hazirbas
[
ArXiv Pre-print
] PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition
Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, and Chaowei Xiao
[
ArXiv Pre-print
] Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
Jiachen Sun, Qingzhao Zhang, Bhavya Kailkhura, Zhiding Yu, Chaowei Xiao, and Z. Morley Mao
The first comprehensive dataset to benchmark corruption robustness of 3D point cloud, containing 75 corruption types!
We win the best paper award in the SRML workshop co-located with ICLR'22!
[Homepage]
[Code and Datasets] [Benchmark]
[
ECCV'22
] Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines
Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, and Z. Morley Mao
Proceedings of the 16th European Conference on Computer Vision, Tel-Aviv, Oct. 2022.
[
NeurIPS'21
] Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions
Jiachen Sun, Yulong Cao, Christopher Choy, Zhiding Yu, Anima Anandkumar, Z. Morley Mao, and Chaowei Xiao
Proceedings of the 35th Conference on Neural Information Processing Systems, Online, Dec. 2021.
[Paper]
[Supplements]
[Slides]
[
BMVC'21
] On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks
Jiachen Sun, Karl Koenig, Yulong Cao, Qi Alfred Chen, and Z. Morley Mao
Proceedings of the 32nd British Machine Vision Conference, Online, Nov. 2021.
[ArXiv Version]
[
USENIX Security'20
] Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures
Jiachen Sun, Yulong Cao, Qi Alfred Chen, and Z. Morley Mao
Proceedings of the 29th USENIX Security Symposium, Boston, USA, Aug. 2020.
[ArXiv Version]
[BibTeX]
[Project Website]
[Talk Video]
[Slides]
[Selected as UIUC CS598 Reading List]
[Selected as UT Dallas CS 6301.007 Reading List]
[
CVPR'22
] On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles
Qingzhao Zhang, Shengtuo Hu, Jiachen Sun, Qi Alfred Chen, and Z. Morley Mao
Proceedings of the 33rd IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, USA, Nov. 2022.
The first robustness analysis of the prediction module in autonomous driving systems!
[
USENIX Security'21
] Automated Discovery of Denial-of-Service Vulnerabilities in Connected Vehicle Protocols
Shengtuo Hu, Qi Alfred Chen, Jiachen Sun, Yiheng Feng, Z. Morley Mao, and Henry Liu
Proceedings of the 30th USENIX Security Symposium, Vancouver, Canada, Aug. 2021.
[
MobiCom'21
] EMP: Edge-assisted Multi-vehicle Perception
Xumiao Zhang, Anlan Zhang, Jiachen Sun, Xiao Zhu, Yihua Ethan Guo, Feng Qian, and Z. Morley Mao
Proceedings of the 27th ACM International Conference on Mobile Computing and Networking, 2021
[
MobiSys'20
] MPBond: Efficient Network-level Collaboration Among Personal Mobile Devices
Xiao Zhu, Jiachen Sun, Xumiao Zhang, Yihua Ethan Guo, Feng Qian, and Z. Morley Mao
Proceedings of the 18th ACM International Conference on Mobile Systems, Applications, and Services, Toronto, Canada, Jun. 2020.
[
INFOCOM'19
] Detecting Anomaly in Large-scale Network using Mobile Crowdsourcing
Yang Li, Jiachen Sun, Wenguang Huang, and Xiaohua Tian
Proceedings of IEEE International Conference on Computer Communications, Paris, France, May 2019.
[
MobiCom'18
] Ghostbuster: Detecting the Presence of Hidden Eavesdroppers
Anadi Chaman, Jiaming Wang, Jiachen Sun, Haitham Hassanieh, and Romit Roy Choudhury
Proceedings of the 24th ACM International Conference on Mobile Computing and Networking, New Delhi, India, Oct. 2018.
[Selected as UT Austin CSE386 Reading List]
[Selected as UCSC CSE253 Reading List]
[
SRML'22
] ModelNet40-C: A Robustness Benchmark for 3D Point Cloud Recognition under Corruption
Jiachen Sun, Qingzhao Zhang, Bhavya Kailkhura, Zhiding Yu, Chaowei Xiao, and Z. Morley Mao
ICLR 2022 Workshop on Socially Responsible Machine Learning. April. 2022. (Best Paper Award)
[PDF]
[
SRML'21
] Improving Adversarial Robustness in 3D Point Cloud Classification via Self-Supervisions
Jiachen Sun, Yulong Cao, Christopher Choy, Zhiding Yu, Chaowei Xiao, Anima Anandkumar, and Z. Morley Mao
ICML 2021 Workshop on Socially Responsible Machine Learning. July. 2021.
[PDF]
[Poster]
[
AdvMLCV'20
] Towards Robust LiDAR-based Perception in Autonomous Driving
Jiachen Sun, Yulong Cao, Qi Alfred Chen, and Z. Morley Mao
CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision, Seattle, USA, Jun. 2020. (Oral)
[PDF]
[DeepMind Travel Grant Award]
[
UMAP Journal'17
] Replacing the Kariba Dam
Yiming Zhang, Jiachen Sun, Yisen Yao (Three authors contribute equally.)
UMAP Journal of Undergraduate Mathematics and Its Applications. 2017. (Contest Paper of MCM).
[Top 2 out of 2409 Participants]
[Outstanding Winner & INFORMS Award]
