Dongqi Han's homepage

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 trustworthy AI, anomaly detection, network traffic analysis, and other intersections between security and machine learning.

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

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

🔥 News

🏆[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)!
👨🏼‍🎓[June 30, 2024] Graduated from THU and became Dr. Han! 🎉
👨🏼‍🎓[May 23, 2024] Successfully defended the doctoral thesis! 🎉
📝[April 28, 2024] One paper on network anomaly detection was published on CN (Congratulations to Wenqi!)
📝[April 4, 2024] One paper on the interpretation of anomaly detection was accepted by CCS’24 A!

📝 Selected Publications

<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>

<aside> <img src="/icons/document_purple.svg" alt="/icons/document_purple.svg" width="40px" /> [IFIP Networking’23] Cutting Onions With Others' Hands: A First Measurement of Tor Proxies in the Wild

👤 Dongqi Han, Shangdong Wang, Zhize He, Zhiliang Wang, Wenqi Chen, Chenglong Li, Jiahai Yang, Xingang Shi, Xia Yin

Acceptance rate: 53/190=27.8%
[Paper][Cite] </aside>

<aside> <img src="/icons/document_purple.svg" alt="/icons/document_purple.svg" width="40px" /> [NDSS’23] BARS: Local Robustness Certification for Deep Learning based Traffic Analysis Systems

👤 Kai Wang, Zhiliang Wang, Dongqi Han, Wenqi Chen, Jiahai Yang, Xingang Shi, Xia Yin

Acceptance rate: 58/398=14.5%
[Code][Paper][Talk] </aside>

<aside> <img src="/icons/document_purple.svg" alt="/icons/document_purple.svg" width="40px" /> [NDSS’22] ROV-MI: Large-Scale, Accurate and Efficient Measurement of ROV Deployment

👤 Wenqi Chen, Zhiliang Wang, Dongqi Han, Chenxin Duan, Xia Yin, Jiahai Yang, Xingang Shi

Acceptance rate: 53/377=14.0%
[Paper][Talk] </aside>

<aside> <img src="/icons/book_purple.svg" alt="/icons/book_purple.svg" width="40px" /> [TIFS’22] threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning

👤 Su Wang, Zhiliang Wang, Tao Zhou, Hongbin Sun, Xia Yin, Dongqi Han, Han Zhang, Xingang Shi, Jiahai Yang

[Code][Paper][Cite] </aside>