publications

* denotes equal contribution.

2020

  1. arXiv
    Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack
    Takami Sato*, Junjie Shen*, Ningfei Wang, Yunhan Jack Jia, Xue Lin, and Qi Alfred Chen
    arXiv:2009.06701 2020
  2. USENIX Security
    Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing
    Junjie Shen, Jun Yeon Won, Zeyuan Chen, and Qi Alfred Chen
    In USENIX Security Symposium (USENIX Security) 2020 (Winter quarter acceptance rate 13.0% = 62/477)
  3. arXiv
    Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack
    Takami Sato*, Junjie Shen*, Ningfei Wang, Yunhan Jack Jia, Xue Lin, and Qi Alfred Chen
    arXiv:2003.01782 2020
  4. ICSE
    A Comprehensive Study of Autonomous Vehicle Bugs
    Joshua Garcia, Yang Feng, Junjie Shen, Sumaya Almanee, Yuan Xia, and Qi Alfred Chen
    In ACM/IEEE International Conference on Software Engineering (ICSE) 2020 (Acceptance rate 23.5% = 129/550)
  5. ICLR
    Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking
    Yunhan Jia*, Yantao Lu*, Junjie Shen, Qi Alfred Chen, Hao Chen, Zhenyu Zhong, and Tao Wei
    In International Conference on Learning Representations (ICLR) 2020 (Acceptance rate 26.5% = 687/2594)
  6. IEEE Access
    Exploring Convolution Neural Network for Branch Prediction
    Yonghua Mao, Huiyang Zhou, Xiaolin Gui, and Junjie Shen
    IEEE Access 2020
  7. NDSS
    Poster: Security of Deep Learning based Lane Keeping Assistance System under Physical-World Adversarial Attack
    Takami Sato*, Junjie Shen*, Ningfei Wang, Yunhan Jack Jia, Xue Lin, and Qi Alfred Chen
    In Network and Distributed System Security Symposium (NDSS) 2020
    Best Technical Poster Award

2019

  1. AdvMLCV
    Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
    Yunhan Jia*, Yantao Lu*, Junjie Shen, Qi Alfred Chen, Zhenyu Zhong, and Tao Wei
    In CVPR Adversarial Machine Learning in Real-World Computer Vision Systems Workshop 2019
    Oral Presentation
  2. USENIX ATC
    LXDs: Towards Isolation of Kernel Subsystems
    Vikram Narayanan, Abhiram Balasubramanian, Charlie Jacobsen, Sarah Spall, Scott Bauer, Michael Quigley, Aftab Hussain, Abdullah Younis, Junjie Shen, Moinak Bhattacharyya, and Anton Burtsev
    In USENIX Annual Technical Conference (USENIX ATC) 2019 (Acceptance rate 19.9% = 71/356)
  3. IPDPS
    Combining Prefetch Control and Cache Partitioning to Improve Multicore Performance
    Gongjin Sun, Junjie Shen, and Alex Veidenbaum
    In IEEE International Parallel & Distributed Processing Symposium (IPDPS) 2019 (Acceptance rate 27.7% = 103/372)
  4. NDSS
    Poster: Security Analysis of Multi-Sensor Fusion based Localization in Autonomous Vehicles
    Junjie Shen, Jun Yeon Won, Shinan Liu, Qi Alfred Chen, and Alexander Veidenbaum
    In Network and Distributed System Security Symposium (NDSS) 2019
    Distinguished Poster Presentation Award

2018

  1. LCPC
    New Opportunities for Compilers in Computer Security
    Junjie Shen, Zhi Chen, Nahid Farhady Ghalaty, Rosario Cammarota, Alex Nicolau, and Alex Veidenbaum
    In Languages and Compilers for Parallel Computing (LCPC) 2018
  2. IEEE Access
    A Study on Deep Belief Net for Branch Prediction
    Yonghua Mao, Junjie Shen, and Xiaolin Gui
    IEEE Access 2018

2017

  1. FDTC
    CAMFAS: A Compiler Approach to Mitigate Fault Attacks Via Enhanced SIMDization
    Zhi Chen, Junjie Shen, Alex Nicolau, Alex Veidenbaum, Nahid Farhady Ghalaty, and Rosario Cammarota
    In Fault Diagnosis and Tolerance in Cryptography (FDTC) 2017