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Reliable Feature Selection for Adversarially Robust Cyber-Attack
  Detection

Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection

5 April 2024
João Vitorino
Miguel Silva
Eva Maia
Isabel Praça
    AAML
ArXivPDFHTML

Papers citing "Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection"

5 / 5 papers shown
Title
DWFS-Obfuscation: Dynamic Weighted Feature Selection for Robust Malware Familial Classification under Obfuscation
DWFS-Obfuscation: Dynamic Weighted Feature Selection for Robust Malware Familial Classification under Obfuscation
Xingyuan Wei
Zijun Cheng
Ning Li
Qiujian Lv
Ziyang Yu
Degang Sun
AAML
16
0
0
10 Apr 2025
Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based
  Intrusion Detection
Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection
Maraz Mia
Mir Mehedi Ahsan Pritom
Tariqul Islam
Kamrul Hasan
AAML
24
0
0
04 Nov 2024
Efficient Network Traffic Feature Sets for IoT Intrusion Detection
Efficient Network Traffic Feature Sets for IoT Intrusion Detection
Miguel Silva
João Vitorino
Eva Maia
Isabel Praça
27
0
0
12 Jun 2024
Feature Selection as Deep Sequential Generative Learning
Feature Selection as Deep Sequential Generative Learning
Wangyang Ying
Dongjie Wang
Haifeng Chen
Yanjie Fu
28
7
0
06 Mar 2024
Constrained Adversarial Learning for Automated Software Testing: a literature review
Constrained Adversarial Learning for Automated Software Testing: a literature review
João Vitorino
Tiago Dias
Tiago Fonseca
Eva Maia
Isabel Praça
AAML
16
6
0
14 Mar 2023
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