๐ฆฅ About Me
Hi, I am Jiahao Liu (ๅๅฎถ่ฑช). Currently, I am a Ph.D. candidate (advised by Prof. Zhenkai Liang) in CURIOSITY Research Group at National University of Singapore (NUS)
. I received my B.E. degree in Computer Science at Chu Kochen Honors College of Zhejiang University (ZJU)
. Apart from Computer Science, I am also interested in Economic and Finance, earning a minor degree in Finance.
My research interests lie primarily in AI for security, with a focus on designing and adapting emerging machine learning techniques (e.g., graph neural networks and large language models) to address real-world security challenges such as malware analysis, program analysis, and vulnerability assessment. More recently, I have been working on AI security, with particular emphasis on agent security. My research investigates inherent threats in agent-based systems, including risks of data leakage between the agent's core reasoning module (โbrainโ) and external tools, as well as inconsistencies across different agent layers, ranging from design principles to action planning and execution sequences.
๐ Publications
* co-first authors
[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
[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 Demonstrations
[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
[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] VulZoo: A Comprehensive Vulnerability Intelligence Dataset
Bonan Ruan, Jiahao Liu, Weibo Zhao, Zhenkai Liang
39th IEEE/ACM International Conference on Automated Software Engineering, Tool Demonstrations
[ASE 2024] MaskDroid: Robust Android Malware Detection with Masked Graph Representations
Jingnan Zheng*, Jiahao Liu*, An Zhang, Jun Zeng, Ziqi Yang, Zhenkai Liang, and 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
Also present at 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
๐ฌ Talks
[04/2025] Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities, Singapore
[02/2025] UI-CTX: Understanding UI Behaviors with Code Contexts for Mobile Applications, San Diego
[10/2024] MaskDroid: Robust Android Malware Detection with Masked Graph Representations, Sacramento
[05/2023] Learning Graph-based Code Representations for Source-level Functional Similarity Detection, Melbourne
[07/2022] TeLL: Log Level Suggestions via Modeling Multi-level Code Block Information, Virtually
๐ Education
[08/2020 ~ present] Ph.D. Candidate in Computer Science, National University of Singapore
[09/2016 ~ 06/2020] Major in Computer Science & Minor in Finance, Zhejiang University
๐ Awards
[08/2025] Distinguished Paper Award, USENIX Security 2025
[10/2024] Best Practical Paper Award, RAID 2024
[01/2023] Research Achievement Award
[08/2020] NUS Research Scholarship
[09/2019] Second-Class Scholarship for Outstanding Merits
[09/2018] Shu Ping Prize Scholarship
[09/2017] National Encouragement Scholarship
[09/2017] Second-Class Scholarship for Outstanding Merits
๐ 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)