About Me
Hi, I am Jiahao Liu (刘家豪), a security researcher at Ant Group. Previously, I earned a Ph.D. in Computer Science from the School of Computing at the National University of Singapore (NUS)
, advised by Prof. Zhenkai Liang. I received my B.E. in Computer Science from Chu Kochen Honors College at Zhejiang University (ZJU)
. I am also interested in finance, which I studied as a minor during my undergraduate years.
My research interests lie primarily in AI for security, where I design and adapt emerging machine learning techniques, such as large language models (LLMs) and graph neural networks, to tackle real-world challenges, including malware analysis, program analysis, and vulnerability assessment. More recently, I have been exploring the security of AI systems by studying security-relevant signals in LLMs and analyzing AI agents as layered software systems, with attention to risks in their components and interactions.
Selected Publications
(* Equal Contribution # Corresponding Author)
[ISSTA 2026] Bridging WebAssembly Specs and Implementations through LLM-Enhanced Validation
Yeqi Fu, Kaihang Ji, Yuanpeng Wang, Zong Cao, Jiahao Liu, Ding Li, Yao Guo, Zhenkai Liang
ACM SIGSOFT International Symposium on Software Testing and Analysis
[TOSEM 2026] Unraveling the Key of Machine Learning-based Android Malware Detection
Jiahao Liu, Jun Zeng, Fabio Pierazzi, Ziqi Yang, Lorenzo Cavallaro, Zhenkai Liang
Transactions on Software Engineering and Methodology
[ICSE 2026] Towards Scalable and Interpretable Mobile App Risk Analysis via Large Language Models
Yu Yang, Zhenyuan Li, Xiandong Ran, Jiahao Liu, Jiahui Wang, Bo Yu, Shouling Ji
48th IEEE/ACM International Conference on Software Engineering
[ACL 2026] Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications
Xiaoyue Lu, Xianglin Yang, Haijun Liu, Jiahao Liu, Kuntai Cai, Yan Xiao, Jin Song Dong
64th Annual Meeting of the Association for Computational Linguistics, Main Conference
[ASE 2025] Propagation-Based Vulnerability Impact Assessment for Software Supply Chains
Bonan Ruan, Zhiwei Lin, Jiahao Liu#, Chuqi Zhang, Kaihang Ji, Zhenkai Liang
40th IEEE/ACM International Conference on Automated Software Engineering
[Security 2025] Fuzzing the PHP Interpreter via Dataflow Fusion
Yuancheng Jiang, Chuqi Zhang, Bonan Ruan, Jiahao Liu, Roland Yap, Zhenkai Liang, Manuel Rigger
34th Usenix Security Symposium
🏆 Distinguished Paper Award
[NDSS 2025] UI-CTX: Understanding UI Behaviors with Code Contexts for Mobile Applications
Jiawei Li*, Jiahao Liu*, Jian Mao, Jun Zeng, Zhenkai Liang
32nd Network and Distributed System Security Symposium
[NDSS 2025] ProvGuard: Detecting SDN Control Policy Manipulation via Contextual Semantics of Provenance Graphs
Ziwen Liu, Jian Mao, Jun Zeng, Jiawei Li, Qixiao Lin, Jiahao Liu, Jianwei Zhuge, Zhenkai Liang
32nd Network and Distributed System Security Symposium
[ASE 2024] MaskDroid: Robust Android Malware Detection with Masked Graph Representations
Jingnan Zheng*, Jiahao Liu*, An Zhang, Jun Zeng, Ziqi Yang, Zhenkai Liang, Tat-Seng Chua
39th IEEE/ACM International Conference on Automated Software Engineering
[RAID 2024] KernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities
Bonan Ruan, Jiahao Liu#, Chuqi Zhang, Zhenkai Liang
27th International Symposium on Research in Attacks, Intrusions and Defenses
🏆 Best Practical Paper Award🎯 Black Hat Asia 2025
[ICSE 2024] Detecting Logic Bugs in Graph Database Management Systems via Injective and Surjective Graph Pattern Transformation
Yuancheng Jiang, Jiahao Liu, Jinsheng Ba, Roland YAP Hock Chuan, Zhenkai Liang, Manuel Rigger
46th IEEE/ACM International Conference on Software Engineering
[ICSE 2023] Learning Graph-based Code Representations for Source-level Functional Similarity Detection
Jiahao Liu*, Jun Zeng*, Xiang Wang, Zhenkai Liang
45th IEEE/ACM International Conference on Software Engineering
[S&P 2022] ShadeWatcher: Recommendation-guided Cyber Threat Analysis using System Audit Records
Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua
43rd IEEE Symposium on Security and Privacy
[ISSTA 2022] TeLL: Log Level Suggestions via Modeling Multi-level Code Block Information
Jiahao Liu, Jun Zeng, Xiang Wang, Kaihang Ji, Zhenkai Liang
31st ACM International Symposium on Software Testing and Analysis
Dataset & Benchmark
[EMNLP 2025] PsyScam: A Benchmark for Psychological Techniques in Real-World Scams
Shang Ma, Tianyi Ma, Jiahao Liu, Wei Song, Zhenkai Liang, Xusheng Xiao, Yanfang Ye
30th Empirical Methods in Natural Language Processing, Findings
[ASE 2025] A Large-Scale Evolvable Dataset for Model Context Protocol Ecosystem and Security Analysis
Zhiwei Lin, Bonan Ruan, Jiahao Liu#, Weibo Zhao
40th IEEE/ACM International Conference on Automated Software Engineering, Tool
[ASE 2024] VulZoo: A Comprehensive Vulnerability Intelligence Dataset
Bonan Ruan, Jiahao Liu#, Weibo Zhao, Zhenkai Liang
39th IEEE/ACM International Conference on Automated Software Engineering, Tool
Awards
[07/2026] Award for Outstanding Overseas Study Elite, China
[08/2025] Distinguished Paper Award, USENIX Security 2025
[10/2024] Best Practical Paper Award, RAID 2024
[10/2023] Research Incentive Award, SoC, NUS
[01/2023] PhD Research Achievement Award, NUS
[08/2020] NUS Research Scholarship
[09/2019] Outstanding Student Scholarship, ZJU
[09/2018] Shu Ping Prize Scholarship
Invited Talks
- Beihang University Vision Forum, Beijing, China
- Nanjing University Chengyao Young Scholars Forum, Nanjing, China
- Black Hat Asia, Singapore
- NDSS, San Diego, USA
- ASE, Sacramento, USA
- ICSE, Melbourne, Australia
- ISSTA, Virtually
Teaching Assistant
[12/2023 ~ 05/2024] Web Security (TIC4304)
[06/2022 ~ 12/2023] Computer Security (CS3235)
[12/2020 ~ 05/2021] Web Security (CS5331)
[07/2020 ~ 12/2020] Computer Security Practice (CS4238)