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

Research article (IEEE Journal on Selected Areas in Communications, 2021) · cited 176× · AI/ML
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Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors

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Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-and-improving-adversarial-robustness-of-machine-learning-based-network-intrusion-detectors
MLA “Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-and-improving-adversarial-robustness-of-machine-learning-based-network-intrusion-detectors.
BibTeX @misc{4ortxyz_evaluating-and-improving-adversarial-robustness-of-machine-learning-based-network-intrusion-detectors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-and-improving-adversarial-robustness-of-machine-learning-based-network-intrusion-detectors}, note = {Accessed: 2026-05-24}}
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