Jiahao Liu

According to our database, Jiahao Liu authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

When MCP Servers Attack: Taxonomy, Feasibility, and Mitigation.

Weibo Zhao, Jiahao Liu, Bonan Ruan, Shaofei Li, Zhenkai Liang

CoRR, September, 2025

An Accurate and Efficient Vulnerability Propagation Analysis Framework.

Bonan Ruan, Zhiwei Lin, Jiahao Liu, Chuqi Zhang, Kaihang Ji, Zhenkai Liang

CoRR, June, 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

CoRR, May, 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

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

UI-CTX: Understanding UI Behaviors with Code Contexts for Mobile Applications.

Jiawei Li, Jiahao Liu, Jian Mao, Jun Zeng, Zhenkai Liang

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

2024

Fuzzing the PHP Interpreter via Dataflow Fusion.

Yuancheng Jiang, Chuqi Zhang, Bonan Ruan, Jiahao Liu, Manuel Rigger, Roland H. C. Yap, Zhenkai Liang

CoRR, 2024

Unraveling the Key of Machine Learning Solutions for Android Malware Detection.

Jiahao Liu, Jun Zeng, Fabio Pierazzi, Lorenzo Cavallaro, Zhenkai Liang

CoRR, 2024

KernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities.

Bonan Ruan, Jiahao Liu, Chuqi Zhang, Zhenkai Liang

Proceedings of the 27th International Symposium on Research in Attacks, 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

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

VulZoo: A Comprehensive Vulnerability Intelligence Dataset.

Bonan Ruan, Jiahao Liu, Weibo Zhao, Zhenkai Liang

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Detecting Logic Bugs in Graph Database Management Systems via Injective and Surjective Graph Query Transformation.

Yuancheng Jiang, Jiahao Liu, Jinsheng Ba, Roland H. C. Yap, Zhenkai Liang, Manuel Rigger

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Learning Graph-based Code Representations for Source-level Functional Similarity Detection.

Jiahao Liu, Jun Zeng, Xiang Wang, Zhenkai Liang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

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

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

TeLL: log level suggestions via modeling multi-level code block information.

Jiahao Liu, Jun Zeng, Xiang Wang, Kaihang Ji, Zhenkai Liang

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022