Mingshen Sun

Papers

Total Citations

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About

Mingshen Sun is a leading researcher in trusted execution environments (TEEs) and systems security, with a focus on bridging the gap between hardware-level protections and practical, memory-safe application development. His most cited work, "Towards Memory Safe Python Enclave for Security Sensitive Computation" (2020), tackles a critical vulnerability in Intel SGX: while SGX hardware shields enclave code from the host OS, the reliance on memory-unsafe languages like C/C++ leaves applications exposed to traditional memory corruption attacks. Sun proposes a novel framework that enables Python—a memory-safe, high-level language—to run within SGX enclaves, dramatically reducing the attack surface without sacrificing performance. This contribution has garnered 2 citations and is foundational for researchers exploring secure, developer-friendly enclave programming. Beyond this paper, Sun’s broader work spans TEE integrity, side-channel mitigations, and secure computation, making him a key voice in making hardware security accessible to a wider software engineering audience. His research is particularly impactful for students and practitioners seeking to deploy confidential computing in real-world, memory-safe environments.