TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems

27 October 2022

Papers citing "TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems"

6 / 6 papers shown

Title
DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks Jing Chen Onat Gungor Zhengli Shang Elvin Li T. Rosing AAML 42 0 0 17 Apr 2025
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers Rahul Yumlembam Biju Issac S. M. Jacob Longzhi Yang AAML 23 2 0 01 Sep 2024
Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach Fernando Martinez Mariyam Mapkar Ali Alfatemi Mohamed Rahouti Yufeng Xin Kaiqi Xiong Nasir Ghani AAML 19 0 0 04 Jun 2024
Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective Khushnaseeb Roshan Aasim Zafar AAML 27 6 0 15 Apr 2024
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 20 4 0 13 Mar 2023
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 19 28 0 12 Mar 2023