Ph.D.,
State Key Laboratory of Cyberspace Security Defense (SKLCSD),
Institute of Information Engineering (IIE),
University of Chinese Academy of Sciences (UCAS), China
[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), under the guidance of Prof. Dongdai Lin and Prof. Wenhao Wang. 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
The International Workshop on Data Security and Privacy (IEEE Data S&P), 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]
Benshan Mei, Yitian Xu
Multi-task
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]
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-B]
Benshan Mei, Wenhao Wang, Dongdai Lin
DuneGuest: Privileged Execution of Guest Processes within Confidential VMs
[In Submission]
Benshan Mei, Wenhao Wang, Dongdai Lin
A Survey on Lightweight Hardware-assisted Isolation Mechanisms (轻量级硬件辅助隔离机制综述 in Chinese)
[In Submission]
- Reviewer
- Engineering Applications of Artificial Intelligence (EAAI)
- Knowledge-Based Systems (KBS)