[中文] [Eng]

• AP at BUPT
• Ph.D. at THU
• Beijing, China

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• Internal Links

  Publication

  Biography

  韩东岐

About Me

I’m currently an associate researcher (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 building trustworthy and practical AI (including LLM/Agents) for Cybersecurity, as well as other intersections between AI and Security (See my full biography here).

Research Interests

1. AI/LLM + Security: trustworthy AI & AI for cybersecurity
2. Traffic Analysis: ETA, anomaly detection, fingerprinting, classification
3. Network Security: measurement and security analysis on diverse network architectures and protocols

News

• [July 4, 2025] One paper was accepted by IEEE TIFS (Congratulations to Su!)
• [May 14, 2025] One paper was accepted by IEEE TIFS (Congratulations to Susu!)
• [March 29, 2025] Our 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 [More]

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corresponding author, * equal contribution,

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• Keji Miao, Jie Yuan, Xinghai Wei, Xingwu Wang, Dongqi Han#, Haiguang Wang, Runshan Hu, Xiaoyong Li, Zitong Jin, Wenqi Chen. 1BIT: Persistent Path Validation with Customized Noise Signal Characteristics. ACM Conference on Computer and Communications Security (CCS), 2025 (acceptance rate: ??/?? = ??%) [Code][Paper][Slides][Talk]
• Dongqi Han, Zhiliang Wang, Ruitao Feng, Minghui Jin, Wenqi Chen, Kai Wang, Su Wang, Jiahai Yang, Xingang Shi, Xia Yin, Yang Liu. Rules Refine the Riddle: Global Explanation for Deep Learning-Based Anomaly Detection in Security Applications. ACM Conference on Computer and Communications Security (CCS), 2024 (acceptance rate: 331/1964 = 16.9%) [Code][Paper][Slides][Talk], :badge: Artifact (Available+Evaluated-Reusable+Results Reproduced), :award: Distinguished Artifact Awards
• Dongqi Han, Zhiliang Wang, Wenqi Chen, Kai Wang, Rui Yu, Su Wang, Han Zhang, Minghui Jin, Jiahai Yang, Xingang Shi, Xia Yin. Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation. Annual Network and Distributed System Security Symposium (NDSS) (acceptance rate: 58/398=14.5%) [Code][Paper][Slides][Talk], :microphone1: IEEE Meeting 119, :award: IRTF Applied Networking Research Prize
• Dongqi Han, Zhiliang Wang, Wenqi Chen, Ying Zhong, Su Wang, Han Zhang, Jiahai Yang, Xingang Shi, Xia Yin. DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications. ACM Conference on Computer and Communications Security (CCS), 2021 (acceptance rate: 65/315=20.6%) [Code][Paper][Cite]
• Dongqi Han, Zhiliang Wang, Wenqi Chen, Ying Zhong, Su Wang, Han Zhang, Jiahai Yang, Xingang Shi, Xia Yin. Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors. IEEE Journal on Selected Areas in Communications (JSAC), 2021 [Code][Paper][Cite]