I am working as a Postdoc Researcher at Shanghai Jiao Tong University, where I am fortunate to work with Prof. Haibo Chen and Prof. Yubin Xia . I received my Ph.D. degree in June 2025 from the State Key Laboratory of Cyberspace Security Defense (SKLCSD), Institute of Information Engineering (IIE), Chinese Academy of Sciences (CAS).

My research focuses on Confidential Computing and Hardware-Assisted Security.

[Email], [GitHub], [Google Scholar], [DBLP], [ResearchGate], [ORCID], [WoS], [Scopus], [LinkedIn]

I have a diverse technical background, starting with Android and web development before transitioning into machine learning research during my master’s studies, where I focused on multi-task learning. My exposure to federated learning and AI security & privacy made me realize the critical security challenges in AI, leading me to shift my focus towards confidential computing. During my Ph.D., I specialized in low-level system security for confidential virtual machines (CVMs), exploring secure system architectures, hardware-assisted security, virtualization security, and trusted execution environments (TEE). My Ph.D. thesis is titled Research on the Privilege Separation Mechanisms in Confidential Virtual Machines.

🔹 Confidential Computing – CVM security, TEE, virtualization security
🔹 AI Security & Privacy – federated learning, adversarial ML, secure AI training & inference

I am passionate about building secure and efficient system architectures to enable next-generation privacy-preserving computing. Let’s connect! 🚀

Benshan Mei, Wenhao Wang, Dongdai Lin
VMPL-KMI: Protecting Kernel Module Integrity within Confidential VMs
2025 IEEE 24th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2025. [EI]

Benshan Mei, Saisai Xia, Wenhao Wang, Dongdai Lin
Cabin: Confining Untrusted Programs within Confidential VMs
The 26th International Conference on Information and Communications Security (ICICS), 2024. [CCF-C, EI]

Benshan Mei, Wenhao Wang, Dongdai Lin
SVSM-KMS: Safeguarding Keys for Cloud Services with Encrypted Virtualization
Science of Cyber Security: 6th International Conference (SciSec), 2024. [IIE-C, EI]

Benshan Mei, Yitian Xu
Safe sample screening for regularized multi-task learning
Knowledge-Based Systems, 2020. [CCF-C, JCR-Q1, IF=7.6]

Benshan Mei, Yitian Xu
Multi-task $\nu$-twin support vector machines
Neural Computing and Applications, 2020. [CCF-C, JCR-Q3]

Benshan Mei, Yitian Xu
Multi-task least squares twin support vector machine for classification
Neurocomputing, 2019. [CCF-C, JCR-Q2, IF=6.0]

Xiangyi Xu, Wenhao Wang, Yongzheng Wu, Chenyu Wang, Huifeng Zhu, Haocheng Ma, Benshan Mei, Zixuan Pang, Rui Hou, Yier Jin
virtCCA: Virtualized Arm Confidential Compute Architecture with TrustZone
IEEE Transaction on Computers (IEEE TC), 2026. [CCF-A, JCR-Q1, IF=4.9]. (Under Review)

Wenhao Wang, Linke Song, Benshan Mei, Shuang Liu, Shijun Zhao, Shoumeng Yan, XiaoFeng Wang, Dan Meng, Rui Hou
The Road to Trust: Building Enclaves within Confidential VMs
Network and Distributed System Security (NDSS) Symposium, 2025. [CCF-A]

Benshan Mei, Dong Du, Yubin Xia, Haibo Chen
NestedCoCo: Nested Confidential Containers without Nested Virtualization

Benshan Mei, Dong Du, Yubin Xia, Haibo Chen
CVM-Dune: Safe Virtualized Processes within Confidential VMs

Benshan Mei, Dong Du, Jinyu Gu, Yubin Xia, Haibo Chen
Lightweight Hardware-Assisted Isolation: A Survey

• Reviewer
  • Engineering Applications of Artificial Intelligence (EAAI)
  • Knowledge-Based Systems (KBS)