An Approach to Improve the Robustness of Machine Learning based Intrusion Detection System Models Against the Carlini-Wagner Attack

Research article (2022 IEEE International Conference on Cyber Security and Resilience (CSR), 2022) · cited 21× · AI/ML
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An Approach to Improve the Robustness of Machine Learning based Intrusion Detection System Models Against the Carlini-Wagner Attack

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An Approach to Improve the Robustness of Machine Learning based Intrusion Detection System Models Against the Carlini-Wagner Attack is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Approach to Improve the Robustness of Machine Learning based Intrusion Detection System Models Against the Carlini-Wagner Attack. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-approach-to-improve-the-robustness-of-machine-learning-based-intrusion-detection-system-models-against-the-carlini-wa
MLA “An Approach to Improve the Robustness of Machine Learning based Intrusion Detection System Models Against the Carlini-Wagner Attack.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-approach-to-improve-the-robustness-of-machine-learning-based-intrusion-detection-system-models-against-the-carlini-wa.
BibTeX @misc{4ortxyz_an-approach-to-improve-the-robustness-of-machine-learning-based-intrusion-detection-system-models-against-the-carlini-wa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Approach to Improve the Robustness of Machine Learning based Intrusion Detection System Models Against the Carlini-Wagner Attack}}, year = {2026}, url = {https://4ort.xyz/entity/an-approach-to-improve-the-robustness-of-machine-learning-based-intrusion-detection-system-models-against-the-carlini-wa}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Approach to Improve the Robustness of Machine Learning based Intrusion Detection System Models Against the Carlini-Wagner Attack — https://4ort.xyz/entity/an-approach-to-improve-the-robustness-of-machine-learning-based-intrusion-detection-system-models-against-the-carlini-wa (retrieved 2026-05-24)

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