Hi, I'm Shuang, a second-year PhD candidate in Cybersecurity at LIACS, Leiden University, Netherlands. My research focuses on the security of natural-language prompts in AI-assisted code generation. You can find more about our group here: LOCS.
In my first year of PhD, I focused on Cryptography and conducted a comprehensive review of preprocessing models in Multi-Party Computation. The manuscript is available here.
I am actively involved in the academic activities. I am a member of the LIACS Diversity Committee and ACCSS. I enjoy organizing events and have co-organized Alice and Eve 2024 and Ethics in Cybersecurity and AI 2025.
I am passionate about programming and proficient in C/C++, Python, and popular front-end technical stacks. Before starting my PhD, I worked as a research engineer for two years in BJCA, the national cryptography company in Beijing. I also worked as a developer for five years before that.
If you have any collaboration ideas or questions, please feel free to contact me.
This blog is combing several code metrics tools which introduced in the paper ‘Can LLMs Generate Higher Quality Code Than Humans? An Empirical Study‘. Some context are referenced directly from the paper. For more details, please see the paper. 1 Code Quality Metric 1.1 Code quality Metric 1.2 Human-centric metrics 1.3 Critical code quality metrics … Code Metrics Tools or Static Analysis Tools
Here is a test post for my new category ‘Posts’. Let’s see if this can show successfully.