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Jiachen Sun
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Towards robust lidar-based perception in autonomous driving: General black-box adversarial sensor attack and countermeasures
J Sun, Y Cao, QA Chen, ZM Mao
29th {USENIX} Security Symposium ({USENIX} Security 20), 877--894, 2020
2312020
On adversarial robustness of trajectory prediction for autonomous vehicles
Q Zhang, S Hu, J Sun, QA Chen, ZM Mao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1112022
Benchmarking and Improving Robustness of 3D Point Cloud Recognition against Common Corruptions
J Sun, Q Zhang, B Kailkhura, Z Yu, C Xiao, Z Mao
Extended Version of ICLR'22 Workshop, 2022
85*2022
Emp: Edge-assisted multi-vehicle perception
X Zhang, A Zhang, J Sun, X Zhu, YE Guo, F Qian, ZM Mao
Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021
832021
Ghostbuster: Detecting the presence of hidden eavesdroppers
A Chaman, J Wang, J Sun, H Hassanieh, R Roy Choudhury
Proceedings of the 24th annual international conference on mobile computing …, 2018
712018
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions
J Sun, Y Cao, CB Choy, Z Yu, A Anandkumar, ZM Mao, C Xiao
Advances in Neural Information Processing Systems 34, 2021
432021
A spectral view of randomized smoothing under common corruptions: Benchmarking and improving certified robustness
J Sun, A Mehra, B Kailkhura, PY Chen, D Hendrycks, J Hamm, ZM Mao
European Conference on Computer Vision, 654-671, 2022
35*2022
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks
J Sun, K Koenig, Y Cao, QA Chen, ZM Mao
arXiv preprint arXiv:2011.11922 (BMVC 2021), 2020
312020
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
J Sun, J Wang, W Nie, Z Yu, Z Mao, C Xiao
ICML'23, 2023
28*2023
Automated Discovery of Denial-of-Service Vulnerabilities in Connected Vehicle Protocols
S Hu, QA Chen, J Sun, Y Feng, ZM Mao, HX Liu
30th {USENIX} Security Symposium ({USENIX} Security 21), 2021
232021
Dolphins: Multimodal language model for driving
Y Ma, Y Cao, J Sun, M Pavone, C Xiao
arXiv preprint arXiv:2312.00438 (ECCV'24), 2023
182023
Detecting anomaly in large-scale network using mobile crowdsourcing
Y Li, J Sun, W Huang, X Tian
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 2179-2187, 2019
142019
MPBond: efficient network-level collaboration among personal mobile devices
X Zhu, J Sun, X Zhang, YE Guo, F Qian, ZM Mao
Proceedings of the 18th International Conference on Mobile Systems …, 2020
122020
Improving adversarial robustness in 3D point cloud classification via self-supervisions
J Sun, Y Cao, C Choy, Z Yu, C Xiao, A Anandkumar, ZM Mao
International Conference on Machine Learning Workshop (ICMLW) 1, 2021
62021
VPA: Fully Test-Time Visual Prompt Adaptation
J Sun, M Ibrahim, M Hall, I Evtimov, ZM Mao, CC Ferrer, C Hazirbas
arXiv preprint arXiv:2309.15251 (ACM MM'23), 2023
32023
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
J Sun, H Zheng, Q Zhang, A Prakash, ZM Mao, C Xiao
arXiv preprint arXiv:2306.00349, 2023
32023
On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures
Q Zhang, S Jin, J Sun, X Zhang, R Zhu, QA Chen, ZM Mao
arXiv preprint arXiv:2309.12955 (USENIX Security'24), 2023
22023
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
H Zheng, J Sun, S Wu, B Kailkhura, Z Mao, C Xiao, A Prakash
arXiv preprint arXiv:2310.07506, 2023
12023
MODELNET40-C: ARobustness BENCHMARK FOR 3D POINT CLOUD RECOGNITION UNDER CORRUPTION
J Sun, Q Zhang, B Kailkhura, Z Yu, C Xiao, ZM Mao
ICLR 2022 Workshop on Socially Responsible Machine Learning 7, 0
1
ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling
H Zheng, E Tsai, Y Lu, J Sun, BR Bartoldson, B Kailkhura, A Prakash
arXiv preprint arXiv:2406.04273, 2024
2024
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