🙋‍♂️ AP at BUPT

🎓 Ph.D. at THU

📍 Beijing, China

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Publications

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中文主页

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Past News

[Last Update December 3, 2024]

👨🏼‍🎓 About [中文]

I’m an assistant professor at the Beijing University of Posts and Telecommunications (BUPT). Before that, I received my Ph.D. from Tsinghua University in 2024, advised by Prof. Zhiliang Wang, and also a joint Ph.D. at Nanyang Technological University advised by Prof. Yang Liu. My research focuses on the intersection between AI and Cybersecurity.

<aside> <img src="/icons/fire_red.svg" alt="/icons/fire_red.svg" width="40px" /> Research Interests

1. AI + Security: trustworthy AI & AI for cyber security
2. Traffic Analysis: anomaly detection, fingerprinting, classification, etc.
3. Network Security: measurement and security analysis on diverse network architectures and protocols </aside>

🔥 News

• 📝[March 29, 2025] One paper on persistent validation and anomaly detection for path-aware networks was accepted by CCS’25 (Congratulations to Keji!)
• 📝[March 26, 2025] One paper was accepted by ICDCS’24 (Congratulations to Keji!)
• 🏆[October 17, 2024] Our paper GEAD on CCS’24 won Distinguished Artifact Award! (award rate: 10/121=8.2%) !
• 📝[July 19, 2024] One paper on audit log compaction was accepted by RAID’24 (Congratulations to Hongbin!)
• 💼[July 11, 2024] I joined the School of Cyberspace Security, Beijing University of Posts and Telecommunications (BUPT)!

📝 Selected Publications

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corresponding author, * equal contribution

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<aside> <img src="/icons/document_purple.svg" alt="/icons/document_purple.svg" width="40px" /> [CCS’24] Rules Refine the Riddle: Global Explanation for Deep Learning-Based Anomaly Detection in Security Applications

👤 Dongqi Han, Zhiliang Wang, Ruitao Feng, Minghui Jin, Wenqi Chen, Kai Wang, Su Wang, Jiahai Yang, Xingang Shi, Xia Yin, Yang Liu

• Acceptance rate: 331/1964 = 16.9%
• Artifact Evaluation: 🏅Available; 🏅Evaluated-Reusable; 🏅Results Reproduced
• 🏆Distinguished Artifact Awards! [Link]
• [Code][Paper][Slides][Talk][Cite] </aside>

<aside> <img src="/icons/document_purple.svg" alt="/icons/document_purple.svg" width="40px" /> [NDSS’23] Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation

👤 Dongqi Han, Zhiliang Wang, Wenqi Chen, Kai Wang, Rui Yu, Su Wang, Han Zhang, Minghui Jin, Jiahai Yang, Xingang Shi, Xia Yin

• 🏆IRTF Applied Networking Research Prize! [Link]
• Acceptance rate: 58/398=14.5%
• [Code][Paper][Slides][Talk][Cite] </aside>

<aside> <img src="/icons/document_purple.svg" alt="/icons/document_purple.svg" width="40px" /> [CCS’21] DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

👤 Dongqi Han, Zhiliang Wang, Wenqi Chen, Ying Zhong, Su Wang, Han Zhang, Jiahai Yang, Xingang Shi, Xia Yin

• Acceptance rate: 65/315=20.6%
• [Code][Paper][Cite] </aside>

<aside> <img src="/icons/book_purple.svg" alt="/icons/book_purple.svg" width="40px" /> [JSAC’21] Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors

👤 Dongqi Han, Zhiliang Wang, Ying Zhong, Wenqi Chen, Jiahai Yang, Shuqiang Lu, Xingang Shi, Xia Yin

• [Code][Paper][Cite] </aside>