From Hardening to Understanding: Adversarial Training vs. CF-Aug for Explainable Cyber-Threat Detection System

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Authors: Malik AL-Essa, Mohammad Qatawneh, Ahmad Sami Al-Shamayleh, Orieb Abualghanam, Wesam A. Almobaideen
Cited by: 1

Abstract

Machine Learning (ML) intrusion detection systems (IDS) are vulnerable to manipulations: small, protocol-valid manipulations can push samples across brittle decision boundaries. We study two complementary remedies that reshap... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Adversarial Robustness in Machine Learning Explainable Artificial Intelligence (XAI) Network Security and Intrusion Detection

Publication details

Journal / source
Computers, materials & continua/Computers, materials & continua (Print)
Publisher
Tech Science Press
Volume
87
Issue
3
Pages
1–10
Publication date
1 January 2026
Language
EN