SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection

13 August 2023

Papers citing "SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection"

24 / 24 papers shown

Title
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning Mohamed el Shehaby Ashraf Matrawy AAML 55 7 0 08 Jun 2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification João Vitorino Isabel Praça Eva Maia AAML 63 28 0 30 Jan 2023
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 62 106 0 17 Jun 2021
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT Pavlos Papadopoulos Oliver Thornewill von Essen Nikolaos Pitropakis C. Chrysoulas Alexios Mylonas William J. Buchanan AAML 65 50 0 26 Apr 2021
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 76 595 0 17 Jul 2020
Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems Eirini Anthi Lowri Williams Matilda Rhode Pete Burnap Adam Wedgbury AAML 16 123 0 10 Apr 2020
Adversarial Machine Learning -- Industry Perspectives Ramnath Kumar Magnus Nyström J. Lambert Andrew Marshall Mario Goertzel Andi Comissoneru Matt Swann Sharon Xia AAML SILM 53 235 0 04 Feb 2020
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 43 105 0 13 Nov 2019
Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks Olakunle Ibitoye Omair Shafiq Ashraf Matrawy 26 163 0 13 May 2019
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 105 1,238 0 29 Apr 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack Jianbo Chen Michael I. Jordan Martin J. Wainwright AAML 56 661 0 03 Apr 2019
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 230 279 0 03 Dec 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 47 233 0 13 Sep 2018
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection Zilong Lin Yong-yu Shi Zhi Xue AAML 43 262 0 06 Sep 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu Sijia Liu Pu Zhao Pin-Yu Chen Huan Zhang Quanfu Fan Deniz Erdogmus Yanzhi Wang Xinyu Lin AAML 87 160 0 05 Aug 2018
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 57 1,093 0 27 Dec 2017
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 80 1,822 0 15 Dec 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 72 1,758 0 22 Aug 2017
Detecting Adversarial Samples from Artifacts Reuben Feinman Ryan R. Curtin S. Shintre Andrew B. Gardner AAML 74 892 0 01 Mar 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 107 1,385 0 24 Feb 2017
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 113 2,520 0 26 Oct 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 203 4,075 0 18 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 168 8,513 0 16 Aug 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 166 14,831 1 21 Dec 2013