| Adversarial sensor attack on lidar-based perception in autonomous driving Y Cao, C Xiao, B Cyr, Y Zhou, W Park, S Rampazzi, QA Chen, K Fu, ... Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 612 | 2019 |
| ContexloT: Towards Providing Contextual Integrity to Appified IoT Platforms. YJ Jia, QA Chen, S Wang, A Rahmati, E Fernandes, ZM Mao, A Prakash, ... NDSS 2 (2), 2.2, 2017 | 430 | 2017 |
| Peeking into Your App without Actually Seeing It:{UI} State Inference and Novel Android Attacks QA Chen, Z Qian, ZM Mao 23rd {USENIX} Security Symposium ({USENIX} Security 14), 1037-1052, 2014 | 277 | 2014 |
| 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 | 270 | 2020 |
| Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks Y Cao, N Wang, C Xiao, D Yang, J Fang, R Yang, QA Chen, M Liu, B Li 2021 IEEE Symposium on Security and Privacy (SP), 176-194, 2021 | 247 | 2021 |
| Drift with devil: Security of {Multi-Sensor} fusion based localization in {High-Level} autonomous driving under {GPS} spoofing J Shen, JY Won, Z Chen, QA Chen 29th USENIX Security Symposium (USENIX Security 20), 931-948, 2020 | 163 | 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 | 144 | 2022 |
| A confidence-based filtering method for DDoS attack defense in cloud environment W Dou, Q Chen, J Chen Future Generation Computer Systems 29 (7), 1838-1850, 2013 | 143 | 2013 |
| Exposing Congestion Attack on Emerging Connected Vehicle based Traffic Signal Control. QA Chen, Y Yin, Y Feng, ZM Mao, HX Liu NDSS, 2018 | 139 | 2018 |
| A comprehensive study of autonomous vehicle bugs J Garcia, Y Feng, J Shen, S Almanee, Y Xia, QA Chen Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 136 | 2020 |
| Dirty road can attack: Security of deep learning based automated lane centering under {Physical-World} attack T Sato, J Shen, N Wang, Y Jia, X Lin, QA Chen 30th USENIX Security Symposium (USENIX Security 21), 3309-3326, 2021 | 135 | 2021 |
| QoE Doctor: Diagnosing Mobile App QoE with Automated UI Control and Cross-layer Analysis QA Chen, H Luo, S Rosen, ZM Mao, K Iyer, J Hui, K Sontineni, K Lau Proceedings of the 2014 Conference on Internet Measurement Conference, 151-164, 2014 | 134 | 2014 |
| CBF: a packet filtering method for DDoS attack defense in cloud environment Q Chen, W Lin, W Dou, S Yu 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure …, 2011 | 112 | 2011 |
| Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking Y Jia, Y Lu, J Shen, QA Chen, Z Zhong, T Wei International Conference on Learning Representations (ICLR), 2020 | 111 | 2020 |
| Kratos: Discovering Inconsistent Security Policy Enforcement in the Android Framework. Y Shao, QA Chen, ZM Mao, J Ott, Z Qian NDSS, 2016 | 105 | 2016 |
| Understanding Fileless Attacks on Linux-based IoT Devices with HoneyCloud F Dang, Z Li, Y Liu, E Zhai, QA Chen, T Xu, Y Chen, J Yang Proceedings of the 17th Annual International Conference on Mobile Systems …, 2019 | 96 | 2019 |
| Vulnerability of traffic control system under cyberattacks with falsified data Y Feng, S Huang, QA Chen, HX Liu, ZM Mao Transportation research record 2672 (1), 1-11, 2018 | 84 | 2018 |
| Vulnerability of traffic control system under cyberattacks with falsified data Y Feng, S Huang, QA Chen, HX Liu, ZM Mao Transportation research record 2672 (1), 1-11, 2018 | 84 | 2018 |
| {Plug-N-Pwned}: Comprehensive vulnerability analysis of {OBD-II} dongles as a new {Over-the-Air} attack surface in automotive {IoT} H Wen, QA Chen, Z Lin 29th USENIX Security Symposium (USENIX Security 20), 949-965, 2020 | 76 | 2020 |
| Threat detection and investigation with system-level provenance graphs: a survey Z Li, QA Chen, R Yang, Y Chen, W Ruan Computers & Security 106, 102282, 2021 | 74 | 2021 |
Z. Morley Mao (茅斫青)University of MichiganEmail verificata su umich.edu
