Adversarial Network Traffic: Towards Evaluating the Robustness of Deep
Learning-Based Network Traffic Classification

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Adversarial Network Traffic: Towards Evaluating the Robustness of Deep Learning-Based Network Traffic Classification

3 March 2020

A. M. Sadeghzadeh

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Papers citing "Adversarial Network Traffic: Towards Evaluating the Robustness of Deep Learning-Based Network Traffic Classification"

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Title
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 65 4 0 01 Sep 2024
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation Soumyadeep Hore Jalal Ghadermazi Diwas Paudel Ankit Shah Tapas K. Das Nathaniel D. Bastian AAML 59 15 0 18 May 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 59 37 0 12 Mar 2023
SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment Marjan Golmaryami R. Taheri Zahra Pooranian Mohammad Shojafar Pei Xiao 56 15 0 16 Apr 2022
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 102 109 0 17 Jun 2021
AWA: Adversarial Website Adaptation A. M. Sadeghzadeh Behrad Tajali R. Jalili AAML 64 20 0 20 Dec 2020
FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments Alesia Chernikova Alina Oprea AAML 119 40 0 23 Sep 2019