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Explainable AI for Comparative Analysis of Intrusion Detection Models

Explainable AI for Comparative Analysis of Intrusion Detection Models

14 June 2024
Pap M. Corea
Yongxin Liu
Jian Wang
Shuteng Niu
Houbing Song
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Papers citing "Explainable AI for Comparative Analysis of Intrusion Detection Models"

5 / 5 papers shown
Title
Machine Learning for Cyber-Attack Identification from Traffic Flows
Machine Learning for Cyber-Attack Identification from Traffic Flows
Yujing Zhou
Marc L. Jacquet
Robel Dawit
Skyler Fabre
Dev Sarawat
...
Yongxin Liu
Dahai Liu
Hongyun Chen
Jian Wang
Huihui Wang
31
0
0
02 May 2025
Explainable Machine Learning for Cyberattack Identification from Traffic Flows
Explainable Machine Learning for Cyberattack Identification from Traffic Flows
Yujing Zhou
Marc L. Jacquet
Robel Dawit
Skyler Fabre
Dev Sarawat
...
Yongxin Liu
Dahai Liu
Hongyun Chen
Jian Wang
Huihui Wang
AAML
29
0
0
02 May 2025
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
Diego Cajaraville-Aboy
Marta Moure-Garrido
Carlos Beis-Penedo
C. García-Rubio
R. Redondo
Celeste Campo
Ana Fernández-Vilas
M. Fernández-Veiga
40
0
0
02 Apr 2025
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial
  Attacks
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks
Wen-Xi Tan
Justus Renkhoff
Alvaro Velasquez
Ziyu Wang
Lu Li
Jian Wang
Shuteng Niu
Fan Yang
Yongxin Liu
Haoze Song
AAML
35
6
0
09 Mar 2023
Exploring Adversarial Attacks on Neural Networks: An Explainable
  Approach
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach
Justus Renkhoff
Wenkai Tan
Alvaro Velasquez
William Yichen Wang
Yongxin Liu
Jian Wang
Shuteng Niu
Lejla Begic Fazlic
Guido Dartmann
Haoze Song
AAML
50
7
0
08 Mar 2023
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