Adversarial machine learning in network intrusion detection systems

E Alhajjar, P Maxwell, N Bastian - Expert Systems with Applications, 2021 - Elsevier
Adversarial examples are inputs to a machine learning system intentionally crafted by an
attacker to fool the model into producing an incorrect output. These examples have achieved …
被引用次数：144 相关文章

Adversarial Machine Learning in Network Intrusion Detection Systems

E Alhajjar, P Maxwell, ND Bastian - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Adversarial examples are inputs to a machine learning system intentionally crafted by an
attacker to fool the model into producing an incorrect output. These examples have achieved …

[引用][C] Adversarial machine learning in Network Intrusion Detection Systems

E Alhajjar, P Maxwell, N Bastian - Expert Systems with Applications, 2021 - cir.nii.ac.jp
Adversarial machine learning in Network Intrusion Detection Systems | CiNii Research CiNii
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …

Adversarial Machine Learning in Network Intrusion Detection Systems

E Alhajjar, P Maxwell, ND Bastian - arXiv preprint arXiv:2004.11898, 2020 - arxiv.org
Adversarial examples are inputs to a machine learning system intentionally crafted by an
attacker to fool the model into producing an incorrect output. These examples have achieved …

Adversarial machine learning in Network Intrusion Detection Systems

E Alhajjar, P Maxwell, N Bastian - 2021 - dl.acm.org
Adversarial examples are inputs to a machine learning system intentionally crafted by an
attacker to fool the model into producing an incorrect output. These examples have achieved …