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Enhancing Network Intrusion Detection System Using NDAE With Xgboost
YJ Itodo, IK Nti - 2024 2nd International Conference on Artificial …, 2024 - ieeexplore.ieee.org
This study addresses the challenge of enhancing Network Intrusion Detection Systems
(NIDS) by integrating Non-symmetric Deep Auto-Encoders (NDAE) with eXtreme Gradient …
(NIDS) by integrating Non-symmetric Deep Auto-Encoders (NDAE) with eXtreme Gradient …
Adversarial Training of Logistic Regression
PLM Doss - Proceedings of the 5th International Conference on …, 2024 - books.google.com
In this paper, we investigate the problem of adversarial attacks on logistic regression
classifiers employed in weather prediction. We address both poison attacks, involving the …
classifiers employed in weather prediction. We address both poison attacks, involving the …
Adversarial Training of Logistic Regression Classifiers for Weather Prediction Against Poison and Evasion Attacks
P Lourdu Mahimai Doss, M Gunasekaran - International Conference on …, 2023 - Springer
In this paper, we investigate the problem of adversarial attacks on logistic regression
classifiers employed in weather prediction. We address both poison attacks, involving the …
classifiers employed in weather prediction. We address both poison attacks, involving the …