Postdoctoral Researcher · Peng Cheng Laboratory (鹏城实验室)
Network Architecture and Assurance · New Network Research Department
Email: sonny_lier@163.com · GitHub: sonny-T · China
I work on systems and hardware security, with a research background in low-level binary analysis and rewriting, and subsequent industry experience in confidential computing.
During graduate study, I investigated precise binary rewriting based on CPU emulators and the LLVM compiler toolchain, aiming at executable reconstruction of stripped binaries and deepening understanding of complex program execution mechanisms. Related results appeared at venues such as CGO and ESORICS.
At Intel, I worked on remote attestation for Intel SGX and TDX, including attestation workflow development, platform adaptation, and application support with technologies such as Gramine and DCAP, as well as TEE attestation and trust enhancement in multi-cloud settings. These efforts helped shape a systematic view of TEE roots of trust, attestation services, and their integration with real-world systems.
Systems and hardware security, with a focus on:
- Trusted Execution Environments (TEE) and confidential computing (Intel SGX / TDX)
- Decentralized / multi-party trust and remote attestation
- Dynamic binary analysis and precise binary rewriting
- Security and reliability of autonomous driving systems
| Period | Position | Affiliation |
|---|---|---|
| 2025 – present | Postdoctoral Researcher | Peng Cheng Laboratory |
| 2022 – 2024 | Security Software Engineer | Intel China · Platform Security Office |
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Linan Tian, Yunke Shen, and Zhiqiang Li. 2024. SRAS: Self-governed Remote Attestation Scheme for Multi-party Collaboration. arXiv preprint arXiv:2407.03745. https://arxiv.org/abs/2407.03745
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Yangyang Shi, Linan Tian, Liwei Chen, Yanqi Yang, and Gang Shi. 2024. Scheduled Execution-Based Binary Indirect Call Targets Refinement. In Computer Security – ESORICS 2024 (LNCS, Vol. 14984). Springer, 3–23. https://doi.org/10.1007/978-3-031-70896-1_1
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Linan Tian, Yangyang Shi, Liwei Chen, Yanqi Yang, and Gang Shi. 2022. Gadgets Splicing: Dynamic Binary Transformation for Precise Rewriting. In IEEE/ACM International Symposium on Code Generation and Optimization (CGO ’22). IEEE, 155–167. https://doi.org/10.1109/CGO53902.2022.9741259
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Linan Tian, Liwei Chen, Delin Kong, and Gang Shi. 2022. GRIN: Make Rewriting More Precise. In 3rd Asia Service Sciences and Software Engineering Conference (ASSE ’22). ACM, 180–188. https://doi.org/10.1145/3523181.3523207
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Jinfeng Li, Liwei Chen, Qizhen Xu, Linan Tian, Gang Shi, Kai Chen, and Dan Meng. 2020. Zipper Stack: Shadow Stacks Without Shadow. In Computer Security – ESORICS 2020 (LNCS, Vol. 12308). Springer. https://doi.org/10.1007/978-3-030-58951-6_17
C/C++, x86 assembly, Python; Intel SGX/TDX & DCAP; QEMU; binary rewriting & analysis (LLVM/Clang toolchain); reverse engineering (GDB, IDA Pro).
📍 Peng Cheng Laboratory · China