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Han D, Wang Z, Feng R, et al. Rules Refine the Riddle: Global Explanation for Deep Learning-Based Anomaly Detection in Security Applications[C]//Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security (CCS). 2024（CCF A, CCS Distinguished Artifact Award）
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Han D, Wang Z, Chen W, et al. Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation[C]//30th Annual Network and Distributed System Security Symposium (NDSS). 2023.（CCF A，IRTF Applied Network Research Price）
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Han D, Wang Z, Chen W, et al. Deepaid: Interpreting and improving deep learning-based anomaly detection in security applications[C]//Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS). 2021: 3197-3217.（CCF A）
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Han D, Wang Z, Zhong Y, et al. Evaluating and improving adversarial robustness of machine learning-based network intrusion detectors[J]. IEEE Journal on Selected Areas in Communications, 2021, 39(8): 2632-2647.（CCF A, SCI 1区）
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Wang K, Wang Z, Han D, et al. BARS: Local Robustness Certification for Deep Learning based Traffic Analysis Systems[C]//30th Annual Network and Distributed System Security Symposium (NDSS). 2023.（CCF A）
