Towards Detecting the Interaction Vulnerabilities in Large Distributed System. - Jinjing Zhao; Gang Zhao; Yan Wen 001; Xiang Li 078 (CIT, 2010)

An Overview of Bootkit Attacking Approaches. - Xiang Li 078; Yan Wen 001; Minhuan Huang; Qiang Liu (MSN, 2011)

Towards a Flaw Function Heuristic Vulnerability Static Analysis Framework for Executable File. - Qiang Liu; Hua Chen; Yan Wen 001; Xiang Li 078 (MSN, 2011)

The Relation on Prefix Hijacking and the Internet Hierarchy. - Jinjing Zhao; Yan Wen 001; Xiang Li 078; Wei Peng 005; Feng Zhao 012 (IMIS, 2012)

Architecture of Network Environment for High-Risk Security Experimentation. - Xiaohui Kuang; Xiang Li 078; Jinjing Zhao (ICT-EurAsia, 2013)

Shielding Your Privacy with the Local-Booted Virtual Machine. - Yan Wen 001; Youyuan Fang; Jinjing Zhao; Xiang Li 078 (CSE, 2014)

FVisor: Towards Thwarting Unauthorized File Accesses with a Light-Weight Hypervisor. - Yan Wen 001; Jinjing Zhao; Shuanghui Yi; Xiang Li 078 (CSE, 2014)

A Novel Method for Survivability Test Based on End Nodes in Large Scale Network. - Liang Ming; Gang Zhao; Dongxia Wang 001; Minhuan Huang; Xiang Li 078; Qing Miao; Fei Xu (KSII Trans. Internet Inf. Syst., 2015)

A clustering approach based on convergence degree chain for wireless sensor networks. - Xiaohui Kuang; Li Liu; Qiang Liu; Xiang Li 078 (Secur. Commun. Networks, 2015)

Machine Learning in Vulnerability Databases. - Zhechao Lin; Xiang Li 078; Xiaohui Kuang (ISCID (1), 2017)

Explaining Concept Drift of Deep Learning Models. - Xiaolu Wang; Zhi Wang 014; Wei Shao; Chunfu Jia; Xiang Li 078 (CSS (2), 2019)

A heuristic fuzz test generator for Java native interface. - Jinjing Zhao; Yan Wen 001; Xiang Li 078; Ling Pang; Xiaohui Kuang; Dongxia Wang 001 (SQUADE@ESEC/SIGSOFT FSE, 2019)

一种基于程序切片相似度匹配的脆弱性发现方法 (Vulnerability Discovery Approach Based on Similarity Matching of Program Slicing). - Qiang Liu; Xiaohui Kuang; Hua Chen; Xiang Li 078; Guangke Li (计算机科学, 2019)

An Adversarial Machine Learning Method Based on OpCode N-grams Feature in Malware Detection. - Xiang Li 078; Kefan Qiu; Cheng Qian; Gang Zhao (DSC, 2020)

Defending Application Layer DDoS Attacks via Multidimensional Parallelotope. - Xiaolin Zhao; Hui Peng; Xiang Li 078; Yue Li; Jingfeng Xue; Yaoyuan Liang; Mingzhe Pei (Secur. Commun. Networks, 2020)

BMOP: Bidirectional Universal Adversarial Learning for Binary OpCode Features. - Xiang Li 078; Yuanping Nie; Zhi Wang 014; Xiaohui Kuang; Kefan Qiu; Cheng Qian; Gang Zhao (Wirel. Commun. Mob. Comput., 2020)

Gradient-oriented gray-box protocol fuzzing. - Yinfan Qin; Xiang Li 078; Jianwen Tian; Taotao Gu; Xiaohui Kuang (DSC, 2021)

An Automatic Code Generation Method Based on Sequence Generative Adversarial Network. - Hanwen Sun; Yuanping Nie; Xiang Li 078; Minhuan Huang; Jianwen Tian; Wei Kong (DSC, 2022)

Group-based corpus scheduling for parallel fuzzing. - Taotao Gu; Xiang Li 078; Shuaibing Lu; Jianwen Tian; Yuanping Nie; Xiaohui Kuang; Zhechao Lin; Chenyifan Liu; Jie Liang 006; Yu Jiang 001 (ESEC/SIGSOFT FSE, 2022)

ICDF: Intrusion collaborative detection framework based on confidence. - Zhi Wang 014; Leshi Shao; Kai Cheng; Yuanzhao Liu; Jianan Jiang; Yuanping Nie; Xiang Li 078; Xiaohui Kuang (Int. J. Intell. Syst., 2022)

Fine-Grained Software Vulnerability Detection via Neural Architecture Search. - Qianjin Du; Xiaohui Kuang; Xiang Li 078; Gang Zhao (DASFAA (4), 2023)

Automated Software Vulnerability Detection via Curriculum Learning. - Qianjin Du; Wei Kun; Xiaohui Kuang; Xiang Li 078; Gang Zhao (ICME, 2023)

Fine-Grained Source Code Vulnerability Detection via Graph Neural Networks (S). - Jingjing Wang; Minhuan Huang; Yuanping Nie; Xiaohui Kuang; Xiang Li 078; Wenjing Zhong (SEKE, 2023)

ECFuzz: Effective Configuration Fuzzing for Large-Scale Systems. - Junqiang Li; Senyi Li; Keyao Li; Falin Luo; Hongfang Yu; Shanshan Li 001; Xiang Li 078 (ICSE, 2024)

Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection. - Jingjing Wang; Minhuan Huang; Yuanping Nie; Xiang Li 078; Qianjin Du; Wei Kong; Huan Deng; Xiaohui Kuang (NeurIPS, 2024)