| 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 | 231 | 2020 |
| 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 | 111 | 2022 |
| 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 | 83 | 2021 |
| 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 | 71 | 2018 |
| 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 | 43 | 2021 |
| 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 | 31 | 2020 |
| 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 | 23 | 2021 |
| Dolphins: Multimodal language model for driving Y Ma, Y Cao, J Sun, M Pavone, C Xiao arXiv preprint arXiv:2312.00438 (ECCV'24), 2023 | 18 | 2023 |
| 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 | 14 | 2019 |
| 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 | 12 | 2020 |
| 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 | 6 | 2021 |
| 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 | 3 | 2023 |
| 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 | 3 | 2023 |
| 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 | 2 | 2023 |
| 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 | 1 | 2023 |
| 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 |
Z. Morley Mao (茅斫青)University of Michigan在 umich.edu 的电子邮件经过验证
