@inproceedings{han2023anomaly,
  title={Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation.},
  author={Han, Dongqi and Wang, Zhiliang and Chen, Wenqi and Wang, Kai and Yu, Rui and Wang, Su and Zhang, Han and Wang, Zhihua and Jin, Minghui and Yang, Jiahai and others},
  booktitle={NDSS},
  year={2023}
}

@article{han2021evaluating,
  title={Evaluating and improving adversarial robustness of machine learning-based network intrusion detectors},
  author={Han, Dongqi and Wang, Zhiliang and Zhong, Ying and Chen, Wenqi and Yang, Jiahai and Lu, Shuqiang and Shi, Xingang and Yin, Xia},
  journal={IEEE Journal on Selected Areas in Communications},
  volume={39},
  number={8},
  pages={2632--2647},
  year={2021},
  publisher={IEEE}
}

@inproceedings{han2023cutting,
  title={Cutting Onions With Others' Hands: A First Measurement of Tor Proxies in the Wild},
  author={Han, Dongqi and Wang, Shangdong and He, Zhize and Wang, Zhiliang and Chen, Wenqi and Li, Chenglong and Yang, Jiahai and Shi, Xingang and Yin, Xia},
  booktitle={2023 IFIP Networking Conference (IFIP Networking)},
  pages={1--9},
  year={2023},
  organization={IEEE}
}

@inproceedings{han2021deepaid,
  title={Deepaid: Interpreting and improving deep learning-based anomaly detection in security applications},
  author={Han, Dongqi and Wang, Zhiliang and Chen, Wenqi and Zhong, Ying and Wang, Su and Zhang, Han and Yang, Jiahai and Shi, Xingang and Yin, Xia},
  booktitle={Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security},
  pages={3197--3217},
  year={2021}
}

@inproceedings{chen2021adsim,
  title={Adsim: network anomaly detection via similarity-aware heterogeneous ensemble learning},
  author={Chen, Wenqi and Wang, Zhiliang and Zhong, Ying and Han, Dongqi and Duan, Chenxin and Yin, Xia and Yang, Jiahai and Shi, Xingang},
  booktitle={2021 IFIP/IEEE International Symposium on Integrated Network Management (IM)},
  pages={608--612},
  year={2021},
  organization={IEEE}
}

@inproceedings{chen2022rov,
  title={ROV-MI: Large-Scale, Accurate and Efficient Measurement of ROV Deployment.},
  author={Chen, Wenqi and Wang, Zhiliang and Han, Dongqi and Duan, Chenxin and Yin, Xia and Yang, Jiahai and Shi, Xingang},
  booktitle={NDSS},
  year={2022}
}

@article{wang2022threatrace,
  title={Threatrace: Detecting and tracing host-based threats in node level through provenance graph learning},
  author={Wang, Su and Wang, Zhiliang and Zhou, Tao and Sun, Hongbin and Yin, Xia and Han, Dongqi and Zhang, Han and Shi, Xingang and Yang, Jiahai},
  journal={IEEE Transactions on Information Forensics and Security},
  volume={17},
  pages={3972--3987},
  year={2022},
  publisher={IEEE}
}

@inproceedings{wang2023bars,
  title={BARS: Local Robustness Certification for Deep Learning based Traffic Analysis Systems.},
  author={Wang, Kai and Wang, Zhiliang and Han, Dongqi and Chen, Wenqi and Yang, Jiahai and Shi, Xingang and Yin, Xia},
  booktitle={NDSS},
  year={2023}
}