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03/13/2023
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems
Nowadays, numerous applications incorporate machine learning (ML) algori...
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03/12/2023
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems
Due to the numerous advantages of machine learning (ML) algorithms, many...
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10/27/2022
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems
Nowadays, intrusion detection systems based on deep learning deliver sta...
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12/22/2021
Detect Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems
In the last decade, the use of Machine Learning techniques in anomaly-ba...
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04/20/2021
Adversarial Training for Deep Learning-based Intrusion Detection Systems
Nowadays, Deep Neural Networks (DNNs) report state-of-the-art results in...
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03/15/2021
