Jun Zeng

19 papers A* 10A 2Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
PATCHEVAL: A New Benchmark for Evaluating LLMs on Patching Real-World Vulnerabilities.
CoRR
Zichao Wei, Jun Zeng, Ming Wen, Zeliang Yu, Kai Cheng, Yiding Zhu, Jingyi Guo, Shiqi Zhou, Le Yin, Xiaodong Su, Zhechao Ma
2025 A* conf
ProvGuard: Detecting SDN Control Policy Manipulation via Contextual Semantics of Provenance Graphs.
NDSS
Ziwen Liu, Jian Mao, Jun Zeng, Jiawei Li, Qixiao Lin, Jiahao Liu, Jianwei Zhuge, Zhenkai Liang
2025 A* conf
UI-CTX: Understanding UI Behaviors with Code Contexts for Mobile Applications.
NDSS
Jiawei Li, Jiahao Liu, Jian Mao, Jun Zeng, Zhenkai Liang
2024 A conf
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents.
EuroSys
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu
2024 J jnl
MASKDROID: Robust Android Malware Detection with Masked Graph Representations.
CoRR
Jingnan Zheng, Jiaohao Liu, An Zhang, Jun Zeng, Ziqi Yang, Zhenkai Liang, Tat-Seng Chua
2024 A* conf
MaskDroid: Robust Android Malware Detection with Masked Graph Representations.
ASE
Jingnan Zheng, Jiahao Liu, An Zhang, Jun Zeng, Ziqi Yang, Zhenkai Liang, Tat-Seng Chua
2024 A* conf
The HitchHiker's Guide to High-Assurance System Observability Protection with Efficient Permission Switches.
CCS
Chuqi Zhang, Jun Zeng, Yiming Zhang, Adil Ahmad, Fengwei Zhang, Hai Jin, Zhenkai Liang
2024 J jnl
The HitchHiker's Guide to High-Assurance System Observability Protection with Efficient Permission Switches.
CoRR
Chuqi Zhang, Jun Zeng, Yiming Zhang, Adil Ahmad, Fengwei Zhang, Hai Jin, Zhenkai Liang
2024 A* conf
UIHash: Detecting Similar Android UIs through Grid-Based Visual Appearance Representation.
USENIX Security Symposium
Jiawei Li, Jian Mao, Jun Zeng, Qixiao Lin, Shaowen Feng, Zhenkai Liang
2024 J jnl
Unraveling the Key of Machine Learning Solutions for Android Malware Detection.
CoRR
Jiahao Liu, Jun Zeng, Fabio Pierazzi, Lorenzo Cavallaro, Zhenkai Liang
2023 J jnl
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents.
CoRR
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
2023 A* conf
Learning Graph-based Code Representations for Source-level Functional Similarity Detection.
ICSE
Jiahao Liu, Jun Zeng, Xiang Wang, Zhenkai Liang
2022 — conf
AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reports.
ESORICS (1)
Zhenyuan Li, Jun Zeng, Yan Chen, Zhenkai Liang
2022 A* conf
FlowMatrix: GPU-Assisted Information-Flow Analysis through Matrix-Based Representation.
USENIX Security Symposium
Kaihang Ji, Jun Zeng, Yuancheng Jiang, Zhenkai Liang, Zheng Leong Chua, Prateek Saxena, Abhik Roychoudhury
2022 A* conf
PalanTír: Optimizing Attack Provenance with Hardware-enhanced System Observability.
CCS
Jun Zeng, Chuqi Zhang, Zhenkai Liang
2022 A* conf
SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records.
SP
Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua
2022 A conf
TeLL: log level suggestions via modeling multi-level code block information.
ISSTA
Jiahao Liu, Jun Zeng, Xiang Wang, Kaihang Ji, Zhenkai Liang
2021 J jnl
AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reports.
CoRR
Zhenyuan Li, Jun Zeng, Yan Chen, Zhenkai Liang
2021 A* conf
WATSON: Abstracting Behaviors from Audit Logs via Aggregation of Contextual Semantics.
NDSS
Jun Zeng, Zheng Leong Chua, Yinfang Chen, Kaihang Ji, Zhenkai Liang, Jian Mao