Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks

13 May 2019

Papers citing "Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks"

14 / 14 papers shown

Title
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey Haotian Zhang S. D. Semujju Zhicheng Wang Xianwei Lv Kang Xu ... Jing Wu Zhuo Long Wensheng Liang Xiaoguang Ma Ruiyan Zhuang UQCV AI4TS AI4CE 29 4 0 11 Dec 2023
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning Mohamed el Shehaby Ashraf Matrawy AAML 33 7 0 08 Jun 2023
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples Giovanni Apruzzese Rodion Vladimirov A.T. Tastemirova Pavel Laskov AAML 38 15 0 04 Jul 2022
Security of Machine Learning-Based Anomaly Detection in Cyber Physical Systems Zahra Jadidi S. Pal Nithesh Nayak K A. Selvakkumar C. Chang Maedeh Beheshti A. Jolfaei AAML 11 10 0 12 Jun 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 32 119 0 18 Mar 2022
A Method Based on Deep Learning for the Detection and Characterization of Cybersecurity Incidents in Internet of Things Devices Jhon Alexánder Parra S. Gutiérrez J. Branch 17 2 0 01 Mar 2022
An accurate IoT Intrusion Detection Framework using Apache Spark Mohamed Abushwereb Mouhammd Alkasassbeh Mohammad Almseidin Muhannad K. Mustafa 18 10 0 21 Feb 2022
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 34 104 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 33 50 0 26 Apr 2021
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning Olakunle Ibitoye M. O. Shafiq Ashraf Matrawy FedML 28 18 0 08 Jan 2021
Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs Rana Abou-Khamis Ashraf Matrawy AAML 33 46 0 08 Jul 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Bo-wen Li P. Varshney D. Song AAML 28 47 0 16 Mar 2020
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 34 68 0 06 Nov 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016