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Explainable Artificial Intelligence Applications in Cyber Security:
  State-of-the-Art in Research

Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research

31 August 2022
Zhibo Zhang
H. A. Hamadi
Ernesto Damiani
C. Yeun
Fatma Taher
    AAML
ArXivPDFHTML

Papers citing "Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research"

6 / 6 papers shown
Title
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
Md Abrar Jahin
S.
M. Mridha
Raihan Kabir
Md. Rashedul Islam
Yutaka Watanobe
Hezerul Abdul Karim
36
0
0
02 Mar 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
Li Yang
Mirna El Rajab
Abdallah Shami
Sami Muhaidat
62
6
0
28 Feb 2025
Algebraic Adversarial Attacks on Integrated Gradients
Algebraic Adversarial Attacks on Integrated Gradients
Lachlan Simpson
Federico Costanza
Kyle Millar
A. Cheng
Cheng-Chew Lim
Hong-Gunn Chew
SILM
AAML
49
2
0
23 Jul 2024
ECQ$^{\text{x}}$: Explainability-Driven Quantization for Low-Bit and
  Sparse DNNs
ECQx^{\text{x}}x: Explainability-Driven Quantization for Low-Bit and Sparse DNNs
Daniel Becking
Maximilian Dreyer
Wojciech Samek
Karsten Müller
Sebastian Lapuschkin
MQ
40
12
0
09 Sep 2021
Explainable Machine Learning for Fraud Detection
Explainable Machine Learning for Fraud Detection
I. Psychoula
A. Gutmann
Pradip Mainali
Sharon H. Lee
Paul Dunphy
F. Petitcolas
FaML
29
31
0
13 May 2021
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
169
1,157
0
03 Mar 2020
1