| 2026 | AAAI | Sentient: Detecting APTs via Capturing Indirect Dependencies and Behavioral Logic. | Wenhao Yan, Ning An, Wei Qiao, Weiheng Wu, Zhigang Lu, Bo Jiang, Baoxu Liu, Junrong Liu |
| 2026 | ICCS | Modeling Semantic Ambiguity: A Knowledge-Driven Framework for Security Attack Technique Extraction. | Cheng Meng, Zhengwei Jiang, Xinyi Li, Fangming Dong, Qiuyun Wang, FangLi Ren, Baoxu Liu |
| 2026 | WWW | Forge: A Robust Multi-tab Website Fingerprinting Attack via Blind Source Separation. | Yitan Huang, Wei Qiao, Ding Wang, Meng Shen, Di Zhao, Linxu Li, Susu Cui, Bo Jiang, Zhigang Lu, Baoxu Liu |
| 2025 | CSCWD | DAB-LLM: Detection of Anomalies in API Call Behavior Based on Large Language Model. | Yue Zhang, Fangjiao Zhang, Baihang Liu, Baoxu Liu, Yuling Liu, Qixu Liu |
| 2025 | ICA3PP | Graph Representation Learning via Generative-Contrastive Fusion for Advanced Persistent Threat Detection. | Jun Jiang, Yijiao Jiang, Fangming Dong, Zhengwei Jiang, Tianming Zheng, Baoxu Liu, Liling Xin |
| 2025 | ICCS | Joint Spatial-Temporal Representation for Host Intrusion Detection System. | Hao Li, Zehui Wang, Shang Shang, Zhengwei Jiang, Qiuyun Wang, Fangli Ren, Baoxu Liu |
| 2025 | ISSRE | Detection and Analysis of Poisoned Image in Container Registry. | Siyuan Pang, Yongshan Wang, Yepeng Yao, Zhengwei Jiang, Zijing Fan, Baoxu Liu |
| 2025 | WWW | Brewing Vodka: Distilling Pure Knowledge for Lightweight Threat Detection in Audit Logs. | Weiheng Wu, Wei Qiao, Wenhao Yan, Bo Jiang, Yuling Liu, Baoxu Liu, Zhigang Lu, Junrong Liu |
| 2025 | TrustCom | Controller Makes Pentesting Better: An Improved Multi-Agent Automated Penetration Testing Framework. | Xiaoyu Geng, Ning An, Boyuan Xu, Xiaobo Yang, Bo Jiang, Baoxu Liu, Junrong Liu |
| 2025 | SecureComm | Flow Dissector: A Flow Slicing Representation with a Pre-trained Model for Varied Malicious Traffic Classification. | Jun Jiang, Fangming Dong, Lingjia Guo, Zhengwei Jiang, Baoxu Liu, Kai Zhang |
| 2024 | ICPR | UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning. | Liangchen Chen, Shu Gao, Baoxu Liu, Xu-Yao Zhang |
| 2024 | ICPR | ENS-RFMC: An Encrypted Network Traffic Sampling Method Based on Rule-Based Feature Extraction and Multi-hierarchical Clustering for Intrusion Detection. | Liangchen Chen, Shu Gao, Zixuan Wei, Baoxu Liu, Xu-Yao Zhang |
| 2024 | WWW | ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning. | Xueying Han, Susu Cui, Jian Qin, Song Liu, Bo Jiang, Cong Dong, Zhigang Lu, Baoxu Liu |
| 2022 | CSCWD | The Hyperbolic Temporal Attention Based Differentiable Neural Turing Machines for Diachronic Graph Embedding in Cyber Threat Intelligence. | Binghua Song, Rong Chen, Baoxu Liu, Zhengwei Jiang, Xuren Wang |
| 2022 | ICCS | Time Series Attention Based Transformer Neural Turing Machines for Diachronic Graph Embedding in Cyber Threat Intelligence. | Binghua Song, Rong Chen, Baoxu Liu, Zhengwei Jiang, Xuren Wang |
| 2022 | ICSE | ModX: Binary Level Partially Imported Third-Party Library Detection via Program Modularization and Semantic Matching. | Can Yang, Zhengzi Xu, Hongxu Chen, Yang Liu, Xiaorui Gong, Baoxu Liu |
| 2021 | CCS | Ghost in the Binder: Binder Transaction Redirection Attacks in Android System Services. | Xiaobo Xiang, Ren Zhang, Hanxiang Wen, Xiaorui Gong, Baoxu Liu |
| 2021 | CSCWD | Spear Phishing Emails Detection Based on Machine Learning. | Xiong Ding, Baoxu Liu, Zhengwei Jiang, Qiuyun Wang, Liling Xin |
| 2021 | CSCWD | Producing More with Less: A GAN-based Network Attack Detection Approach for Imbalanced Data. | Xingran Hao, Zhengwei Jiang, Qingsai Xiao, Qiuyun Wang, Yepeng Yao, Baoxu Liu, Jian Liu |
| 2021 | HPCC | BEDIM: Lateral Movement Detection In Enterprise Network Through Behavior Deviation Measurement. | Cong Dong, Yufan Chen, Yunjian Zhang, Yuling Liu, Zhigang Lu, Pu Dong, Baoxu Liu |
| 2021 | ICCS | Trojan Traffic Detection Based on Meta-learning. | Zijian Jia, Yepeng Yao, Qiuyun Wang, Xuren Wang, Baoxu Liu, Zhengwei Jiang |
| 2021 | SP | Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis. | Yi Chen, Yepeng Yao, XiaoFeng Wang, Dandan Xu, Chang Yue, Xiaozhong Liu, Kai Chen, Haixu Tang, Baoxu Liu |
| 2020 | SEC | RouAlign: Cross-Version Function Alignment and Routine Recovery with Graphlet Edge Embedding. | Can Yang, Jian Liu, Mengxia Luo, Xiaorui Gong, Baoxu Liu |
| 2019 | ACSAC | SRFuzzer: an automatic fuzzing framework for physical SOHO router devices to discover multi-type vulnerabilities. | Yu Zhang, Wei Huo, Kunpeng Jian, Ji Shi, Haoliang Lu, Longquan Liu, Chen Wang, Dandan Sun, Chao Zhang, Baoxu Liu |
| 2019 | ICCS | Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection. | Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu |
| 2019 | TrustCom | Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection. | Liya Su, Yepeng Yao, Zhigang Lu, Baoxu Liu |
| 2019 | TrustCom | STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection. | Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu |
| 2018 | TrustCom | A Systematic Method on PDF Privacy Leakage Issues. | Yun Feng, Baoxu Liu, Xiang Cui, Chaoge Liu, Xuebin Kang, Junwei Su |
| 2018 | TrustCom | A Quality Evaluation Method of Cyber Threat Intelligence in User Perspective. | Qiang Li, Zhengwei Jiang, Zeming Yang, Baoxu Liu, Xin Wang, Yunan Zhang |
| 2018 | TrustCom | Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection. | Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu |
| 2010 | GRC | Attack Detection by Rough Set Theory in Recommendation System. | Famei He, Xuren Wang, Baoxu Liu |