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Ke He
Ke He
Verifierad e-postadress på aucklanduni.ac.nz
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Adversarial machine learning for network intrusion detection systems: A comprehensive survey
K He, DD Kim, MR Asghar
IEEE Communications Surveys & Tutorials 25 (1), 538-566, 2023
2042023
Malware detection with malware images using deep learning techniques
K He, DS Kim
2019 18th IEEE international conference on trust, security and privacy in …, 2019
872019
Liuer Mihou: A practical framework for generating and evaluating grey-box adversarial attacks against NIDS
K He, DD Kim, J Sun, JD Yoo, YH Lee, HK Kim
arXiv preprint arXiv:2204.06113, 2022
82022
NIDS-Vis: Improving the generalized adversarial robustness of network intrusion detection system
K He, DD Kim, MR Asghar
Computers & security 145, 104028, 2024
32024
Liuer Mihou: A Practical Grey-Box Adversarial Attack Against Anomaly-Based Nids
K He, JD Yoo, DD Kim, MR Asghar, YH Lee, HK Kim
Available at SSRN 5108689, 0
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Artiklar 1–5