About Me

I am a 4th year CS Ph.D. candidate at UC Irvine working with Prof. Qi Alfred Chen.

Research Interests

Cyber-Physical Systems Security
Adversarial Machine Learning
Covert-Channel and Fault Analysis

Publications

(* equal contributions)

A Comprehensive Study of Autonomous Vehicle Bugs
J. Garcia, Y. Feng, J. Shen, S. Almanee, Y. Xia, Q. A. Chen
To appear in the 42nd International Conference on Software Engineering (ICSE'20), 2020
[Paper]

Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking
Y. Jia*, Y. Lu*, J. Shen, Q. A. Chen, H. Chen, Z. Zhong, T. Wei
To appear in the 8th International Conference on Learning Representations (ICLR'20), 2020
[Paper]

Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack
T. Sato*, J. Shen*, N. Wang, Y. Jia, X. Lin, Q. A. Chen
arXiv:2003.01782, 2020
[Paper] [Website] [Attack Demo]

Poster: Security of Deep Learning based Lane Keeping Assistance System under Physical-World Adversarial Attack
T. Sato*, J. Shen*, N. Wang, Y. Jia, X. Lin, Q. A. Chen
Poster session in Network and Distributed System Security Symposium (NDSS), 2020
[Poster] Best Technical Poster Award

Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
Y. Jia*, Y. Lu*, J. Shen, Q. A. Chen, Z. Zhong, T. Wei
CVPR Adversarial Machine Learning in Real-World Computer Vision Systems Workshop (AdvMLCV'19), 2019
[Paper] Selected as contributed talk

Attacking Multiple Object Tracking using Adversarial Examples
Y. Jia, Y. Lu, J. Shen, Q. A. Chen, Z. Zhong, T. Wei
ICML Security and Privacy on Machine Learning Workshop (SPML'19), 2019
[Poster]

LXDs: Towards Isolation of Kernel Subsystems
V. Narayanan, A. Balasubramanian, C. Jacobsen, S. Spall, S. Bauer, M. Quigley, A. Hussain, A. Younis, J. Shen, M. Bhattacharyya, A. Burtsev
USENIX Annual Technical Conference (USENIX ATC), 2019
[Paper]

Poster: Security Analysis of Multi-Sensor Fusion based Localization in Autonomous Vehicles
J. Shen, J. Y. Won, S. Liu, Q. A. Chen, A. Veidenbaum
Poster session in Network and Distributed System Security Symposium (NDSS), 2019
[Poster] Distinguished Poster Presentation Award

Combining Prefetch Control and Cache Partitioning to Improve Multicore Performance
G. Sun, J. Shen, A. Veidenbaum
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2019
[Paper]

New Opportunities for Compilers in Computer Security
J. Shen, Z. Chen, N. F. Ghalaty, R. Cammarota, A. Nicolau, A. Veidenbaum
Languages and Compilers for Parallel Computing (LCPC), 2018
[Paper]

CAMFAS: A Compiler Approach to Mitigate Fault Attacks via Enhanced SIMDization
Z. Chen, J. Shen, A. Nicolau, A. Veidenbaum, N. F. Ghalaty, R. Cammarota
IEEE Workshop on Fault Diagnosis and Tolerance in Cryptography (FDTC), 2017
[Paper][Slides]

A Study on Deep Belief Net for Branch Prediction
Y. Mao, J. Shen, X. Gui
IEEE Access, 2017
[Paper]

Experience

CPU Performance Modeling Intern, Qualcomm, Raleigh, NC, June - Sept 2017
Research Intern, AMD Research, Beijing, China, May - Aug 2015
Firmware Engineer Intern, Zhejiang Uniview Technologies, Hangzhou, China, May - Oct 2012

Academic Service

Reviewer, International Conference on Machine Learning (ICML), 2020
Reviewer, International Journal of Parallel Programming (IJPP), 2016, 2018

Teaching

TA, ICS 53 Principles in System Design, S18
TA, CS 143A/238P Principles of Operating Systems, F17, W18
TA, ICS 46 Data Structure Implementation and Analysis, S17
TA, CS 131 Parallel and Distributed Computing, W17
TA, CS 141 Concepts in Programming Languages, F16

Education

Ph.D., University of California, Irvine, Irvine, CA, June 2016 - present
M.S., North Carolina State University, Raleigh, NC, Jan 2014 - Dec 2015
B.S., Hangzhou Dianzi University, Hangzhou, China, Sept 2009 - June 2013