Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion
Detection Systems

Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems

12 March 2023

Benjamin Cochez

Thibault Debatty

Jean-Michel Dricot

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Papers citing "Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems"

14 / 14 papers shown

Title
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection João Vitorino Nuno Oliveira Isabel Praça AAML 44 29 0 08 Mar 2022
Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems Islam Debicha Thibault Debatty Jean-Michel Dricot Wim Mees Tayeb Kenaza AAML 18 9 0 22 Dec 2021
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 89 108 0 17 Jun 2021
Adversarial Feature Selection against Evasion Attacks Fei Zhang P. Chan Battista Biggio D. Yeung Fabio Roli AAML 54 227 0 25 May 2020
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 55 234 0 13 Sep 2018
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models Pin-Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho-Jui Hsieh AAML 106 1,887 0 14 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,151 0 19 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 131 1,867 0 20 May 2017
On the (Statistical) Detection of Adversarial Examples Kathrin Grosse Praveen Manoharan Nicolas Papernot Michael Backes Patrick McDaniel AAML 86 714 0 21 Feb 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,587 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 547 5,912 0 08 Jul 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 154 4,905 0 14 Nov 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 291 14,968 1 21 Dec 2013

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