Huibo Wang

Papers

Total Citations

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About

Huibo Wang is a leading researcher in systems security, with a primary focus on trusted execution environments (TEEs), memory safety, and hardware-assisted security. Her most influential work, "Towards Memory Safe Python Enclave for Security Sensitive Computation" (2020), tackles a critical vulnerability in Intel SGX: while SGX protects applications from privileged adversaries, enclaves written in memory-unsafe languages like C/C++ remain susceptible to memory corruption attacks. Wang’s research pioneers approaches to integrate memory-safe languages, such as Python, into enclave environments, bridging the gap between usability and security. This contribution has garnered attention in the security community, with 2 citations, and highlights her commitment to making TEEs accessible for real-world, security-sensitive computation. Beyond this paper, Wang’s broader work explores the intersection of hardware security and software safety, aiming to eliminate entire classes of vulnerabilities without sacrificing performance. Her research is particularly impactful for students and practitioners seeking to build robust, memory-safe enclaves—a pressing need as cloud computing and confidential computing expand. Wang’s innovative synthesis of programming language safety with hardware security positions her as a key voice in the next generation of systems security research.