Jinwen Wang
Dr. Jinwen Wang is an Assistant Professor in the Department of Computer Science and Engineering at The University of Texas at Dallas (UTD). His research focuses on Cyber-Physical Systems Security and Machine Learning System Security. Jinwen earned his PhD from Washington University in St. Louis (WashU) under the supervision of Prof. Ning Zhang, and his master’s degree from Tsinghua University (THU) under Prof. Qi Li. Email: jinwen.wang@utdallas.edu |
![]() |
I am actively seeking self-motivated Ph.D. students to work on system, software, and AI security projects. If you are interested in these areas, please feel free to reach out to me.
News
-
[Aug 25] My paper “ConTest: Taming the Cyber-physical Input Space in Fuzz Testing with Control Theory” is accepted in CCS’2025!
-
[Aug 25] I received the Distinguished Reviewer Award at USENIX VehicleSec’2025!
-
[Dec 24] My two papers “ Software Availability Protection in Cyber-Physical Systems” and “Secure Information Embedding in Forensic 3D Fingerprinting” are accepted in Security’2025!
-
[Nov 24] I am invited to serve on the TPC of USENIX VehiclesSec’2025!
-
[Sep 24] Our paper “Adapbox: Adaptive sandboxing in medical systems with ebpf” was accepted by AACD’2024. Congratulations to Sinyin!
-
[May 24] Our two papers “Opportunistic Data Flow Integrity for Real-time Cyber-physical Systems Using Worst Case Execution Time Reservation” and “ “Your Firmware Has Arrived: A Study of Firmware Update Vulnerabilities” were accepted by Security’2024. Congratulations to Yujie and Yuhao!
-
[Feb 24] I am invited to serve on the TPC of USENIX ATC 2024!
-
[Jan 24] Our paper “An Empirical Study of Performance Interference: Timing Violation Patterns and Impacts” was accepted by RTAS’2024. Congratulations to Ao!
-
[Sep 23] My paper “Secure and Timely GPU Execution in Cyber-physical Systems” was accepted by CCS’2023.
-
[Feb 23] My demo “Demo: Real-time System Availability for Cyber-physical Systems using ARM TrustZone” won VehicleSec Qualcomm Best Demo Award Runner Up in VehicleSec’2023.
Selected Publications
-
ConTest: Taming the Cyber-physical Input Space in Fuzz Testing with Control Theory
Jinwen Wang*, Hongchao Zhang*, Chuanrui Jiang, Andrew Clark, and Ning Zhang
32th ACM Conference on Computer and Communications Security (CCS), 2025. -
Software Availability Protection in Cyber-physical Systems [code]
Jinwen Wang*, Ao Li*, and Ning Zhang
34th USENIX Security Symposium (Security), 2025. -
Secure Information Embedding in Forensic 3D Fingerprinting [code]
Jinwen Wang*, Canran Wang*, Mi Zhou, Vinh Pham, Senyue Hao, Chao Zhou, Ning Zhang, and Netanel Raviv
34th USENIX Security Symposium (Security), 2025. -
Opportunistic Data Flow Integrity for Real-time Cyber-physical Systems Using Worst Case Execution Time Reservation [code]
Yujie Wang, Ao Li, Jinwen Wang, Sanjoy Baruah, and Ning Zhang
33rd USENIX Security Symposium (Security), 2024. -
Your Firmware Has Arrived: A Study of Firmware Update Vulnerabilities [code]
Yuhao Wu, Jinwen Wang, Yujie Wang, Shixuan Zhai, Zihan Li, Yi He, Kun Sun, Qi Li, and Ning Zhang
33rd USENIX Security Symposium (Security), 2024. -
An Empirical Study of Performance Interference: Timing Violation Patterns and Impacts [code]
Ao Li, Jinwen Wang, Sanjoy Baruah, Bruno Sinopoli, and Ning Zhang
30th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2024. -
Secure and Timely GPU Execution in Cyber-physical Systems [code]
Jinwen Wang, Yujie Wang, and Ning Zhang
30th ACM Conference on Computer and Communications Security (CCS), 2023. -
ARI: Attestation of Real-time Mission Execution Integrity [code]
Jinwen Wang, Yujie Wang, Ao Li, Yang Xiao, Ruide Zhang, Wenjing Lou, Y. Thomas Hou, and Ning Zhang
32nd USENIX Security Symposium (Security), 2023. -
IP Protection in TinyML [code]
Jinwen Wang, Yuhao Wu, Han Liu, Bo Yuan, Roger Chamberlain, and Ning Zhang
60th ACM/IEEE Design Automation Conference (DAC), 2023.
- RT-TEE: Real-time System Availability for Cyber-physical Systems using ARM TrustZone [code]
Jinwen Wang, Ao Li, Haoran Li, Chenyang Lu, and Ning Zhang
43rd IEEE Symposium on Security and Privacy (S&P), 2022.
(VehicleSec Qualcomm Best Demo Award Runner Up)
Awards and Honors
- Distinguished Reviewer Award in USENIX VehicleSec 2025
- Travel Grant in USENIX Security 2025
- VehicleSec Qualcomm Best Demo Award Runner Up 2023
- Travel Grant in ACM CCS 2023
- Travel Grant in RTSS 2022
- Dean’s International Fellowship in Washington University in St. Louis 2019
- Second Class University Scholarship in Tsinghua University 2016
- National Scholarship in China 2013
Professional Services
PC Member at Conferences:
- ACM Asia CCS 2026
- ACM Cyber Security in Cars Workshop 2025
- USENIX VehicleSec 2025
- USENIX Security Artifact 2024
- USENIX Annual Technical Conference 2024
Sub-reviewer at Conferences:
- IEEE Symposium on Security and Privacy (S&P) 2023-2025
- USENIX Security Symposium (Security) 2023-2025
- ACM Conference on Computer and Communications Security (CCS) 2022-2023
- ISOC Network and Distributed System Security Symposium (NDSS) 2020-2023
- IEEE Annual Computer Security Applications Conference (ACSAC) 2024
- IEEE International Conference on Computer Communications (INFOCOM) 2019-2014
- ACM ASIA Conference on Computer and Communications Security (AsiaCCS) 2022-2023
Reviewer for Journals:
- IEEE/ACM Transactions on Networking (ToN)
- IEEE Transactions on Information Forensics and Security (TIFS)
- IEEE Transactions on Dependable and Secure Computing (TDSC)
Talks
10/2024 | “Adapbox: Adaptive sandboxing in medical systems with ebpf”, Invited Talk in ACM CCS Adaptive and Autonomous Cyber Defense (AACD) workshop 2024. | Salt Lake City, Utah, USA |
11/2023 | “Secure and Timely GPU Execution in Cyber-physical Systems”, Invited Talk in ACM CCS 2023. | Copenhagen, Denmark |
08/2023 | “ARI: Attestation of Real-time Mission Execution Integrity”, Invited Talk in USENIX Security 2023. | Anaheim, CA, USA |
07/2023 | “IP Protection in TinyML”, Invited Talk in IEEE/ACM DAC 2023. | San Francisco, CA, USA |
05/2022 | “RT-TEE: Real-time System Availability for Cyber-physical Systems using ARM TrustZone”, Invited Talk in IEEE S&P 2022. | San Francisco, CA, USA |