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Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors.

D. Han, Z. Wang, Y. Zhong, W. Chen, J. Yang, S. Lu, X. Shi, и X. Yin. IEEE J. Sel. Areas Commun., 39 (8): 2632-2647 (2021)

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Xingang Zhang

Huili Shi

Lei Shi

Zhanjun Shi

Jian Shi

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HashFlow for Better Flow Record Collection.Z. Zhao, X. Shi, X. Yin, Z. Wang, и Q. Li. ICDCS, стр. 1416-1425. IEEE, (2019)Efficient computation of loop-free alternates.H. Geng, H. Zhang, X. Shi, Z. Wang, и X. Yin. J. Netw. Comput. Appl., (2020)Assisting reachability verification of network configurations updates with NUV.Y. Li, Z. Wang, X. Yin, X. Shi, J. Wu, F. Ye, J. Yao, и H. Zhang. Comput. Networks, (2020)An Adversarial Learning Model for Intrusion Detection in Real Complex Network Environments.Y. Zhong, Y. Zhu, Z. Wang, X. Yin, X. Shi, и K. Li. WASA (1), том 12384 из Lecture Notes in Computer Science, стр. 794-806. Springer, (2020)SOTE: Traffic engineering in hybrid software defined networks.Y. Guo, Z. Wang, Z. Liu, X. Yin, X. Shi, J. Wu, Y. Xu, и H. Chao. Comput. Networks, (2019)Cutting Onions With Others' Hands: A First Measurement of Tor Proxies in the Wild.D. Han, S. Wang, Z. He, Z. Wang, W. Chen, C. Li, J. Yang, X. Shi, и X. Yin. IFIP Networking, стр. 1-9. IEEE, (2023)Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation.D. Han, Z. Wang, W. Chen, K. Wang, R. Yu, S. Wang, H. Zhang, Z. Wang, M. Jin, J. Yang и 2 other автор(ы). NDSS, The Internet Society, (2023)Traffic Matrix Prediction Based on Deep Learning for Dynamic Traffic Engineering.Z. Liu, Z. Wang, X. Yin, X. Shi, Y. Guo, и Y. Tian. ISCC, стр. 1-7. IEEE, (2019)Least frequency-delay-product caching replacement for distributed mapping systems in the core-edge network separation architecture.J. Lee, Z. Wang, X. Yin, X. Shi, D. Wu, и S. Li. BCFIC, стр. 206-213. IEEE, (2012)HashFlow For Better Flow Record Collection.Z. Zhao, X. Shi, X. Yin, и Z. Wang. CoRR, (2018)

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