Hi, Iām Yiling He š
- š Iām currently working on Code LLM applications, focusing on the problems of semantics preserving and robustness to drift
- š± Iām always learning recent advances in the related domains and never limit myself to one way
- šÆ Iām looking to collaborate on LLM-powered software security, e.g., for vulnerability detection, malware summary and defense
- š¬ Visit my previous blog at https://e0hyl.github.io/BLOG-OF-E0
- š« How to reach me: yiling-he@ucl.ac.uk (Research Fellow at University College London)
Selection of my publications here. š§ denotes corresponding author.
Experience including internships, services, education, and awards.
Education & Awards
University College London: Research Fellow
January, 2025 - nowS2Lab, Computer Science
Supervisor: Lorenzo CavallaroZhejiang University: PhD degree
September, 2021 - June, 2024Cyberspace Security, College of Computer Science
Supervisor: Kui Ren, Zhan QinZhejiang University: Master's (transferred to PhD in the spring semester)
September, 2019 - June, 2021Cyberspace Security, College of Computer Science
Supervisor: Kui Ren, Zhan QinBeijing University of Posts and Telecommunications: Bachelor degree
September, 2015 - June, 2019Information Security, School of Cyberspace Security
Internships
Tencent: Intelligent Security Research Group, Xuanwu Lab
March, 2021 - August, 2021Professional Services
IEEE Symposium on Security and Privacy (IEEE S&P): Program Committee Member
2026ACM Workshop on Artificial Intelligence and Security (AISec, co-located with CCS): Program Committee Member
2025Workshop on Rethinking Malware Analysis (WoRMA, co-located with IEEE EuroS&P): Program Committee Member
2025USENIX Security Symposium (USENIX Security): External Reviewer
2025IEEE Symposium on Security and Privacy (IEEE S&P): External Reviewer
2025ACM SIGSAC Conference on Computer and Communications Security (CCS): External Reviewer
2024, 2022Tsinghua Science and Technology (TST): Reviewer
2025, 2024IEEE Transactions on Circuits and Systems for Video Technology (TCSVT): Reviewer
2024IEEE Transactions on Dependable and Secure Computing (TDSC): Reviewer
2023Selected projects from my Github, visit for more at https://github.com/E0HYL.
FINER-explain
The framework to fine-tune existing malware/vulnerability classifiers with explanations and generate component-based explanations with feature attribution XAI methods, improving explanation fidelity and intelligibility. Refer to our CCS 2023 paper for more details.tensorflow lime shap My Related Blogs: LIME & SHAP Toolkit GradientExplainer
MsDroid
Represent android malware with a set of graphs, classify them with GNN, and explain the decisions with techniques including GNN-Explainer. Refer to our TDSC 2023 paper for more details.pytorch pytorch-geometric My Related Blogs: GNN Basis PyG Dataset GNNExplainer
AndrozooDownloader
Download datasets from Androzoo, differentiate by year as well as benign/malicious applications. Supports coroutines, proxies, breakpoint continuation, error retries, etc.python asyncio
AI4Code-Framework
This repo is no longer maintained but the Android malware feature extraction methods in related papers, i.e., Drebin, DAMD, MaMaDroid, Hindroid, and MsDroid, are ready to be used, which I re-implemented with androguard v3.4.python androguard