Tongxin Li

Papers

Total Citations

H-Index

About

Tongxin Li is a leading researcher in systems security, with a primary focus on hardware-assisted trusted execution environments (TEEs) and memory safety. His work addresses critical vulnerabilities in secure enclave technologies, particularly Intel SGX, where memory-unsafe languages like C/C++ expose sensitive computations to traditional corruption attacks. Li’s seminal paper, “Towards Memory Safe Python Enclave for Security Sensitive Computation” (2020), proposes a novel framework that enables memory-safe Python execution within SGX enclaves, bridging the gap between developer productivity and robust security. Although early in its citation impact (2 citations), this work lays foundational groundwork for integrating high-level, memory-safe languages into TEEs—a pressing need as cloud and edge computing increasingly rely on enclave-based protection. Li’s contributions are pivotal for advancing secure computation in untrusted environments, offering practical solutions to mitigate memory corruption without sacrificing performance. His research continues to influence the design of next-generation secure systems, making him a key voice in the ongoing effort to harden trusted execution against evolving threats.