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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification
Andrew McCarthy, Essam Ghadafi, Panagiotis Andriotis, et al.
Journal of Information Security and Applications (2022) Vol. 72, pp. 103398-103398
Open Access | Times Cited: 11

Showing 11 citing articles:

Adversarial Attacks and Defenses in Machine Learning-Empowered Communication Systems and Networks: A Contemporary Survey
Yulong Wang, Tong Sun, Shenghong Li, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2245-2298
Closed Access | Times Cited: 36
Boosting robustness of network intrusion detection systems: A novel two phase defense strategy against untargeted white-box optimization adversarial attack
Khushnaseeb Roshan, Aasim Zafar
Expert Systems with Applications (2024) Vol. 249, pp. 123567-123567
Closed Access | Times Cited: 7
Analyse and Predict the Detection of the Cyber - Attack Process by Using a Machine-Learning Approach
Charanjeet Singh, Ravinjit Singh, Shivaputra Shivaputra, et al.
EAI Endorsed Transactions on Internet of Things (2024) Vol. 10
Open Access | Times Cited: 4
Evasion Attack and Defense on Machine Learning Models in Cyber-Physical Systems: A Survey
Shunyao Wang, Ryan K. L. Ko, Guangdong Bai, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 26, Iss. 2, pp. 930-966
Open Access | Times Cited: 10
Adversarial attack defense analysis: An empirical approach in cybersecurity perspective
Kousik Barik, Sanjay Misra
Software Impacts (2024) Vol. 21, pp. 100681-100681
Closed Access | Times Cited: 3
A Model for Estimating Resiliency of AI-Based Classifiers Defending Against Cyber Attacks
Kousik Barik, Sanjay Misra, Luis Fernández Sanz
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Towards Autonomous Cybersecurity: A Comparative Analysis of Agnostic and Hybrid AI Approaches for Advanced Persistent Threat Detection
Adrián Hernández-Rivas, Víctor Morales-Rocha, J. Patricia Sánchez-Solís
Studies in computational intelligence (2024), pp. 181-219
Closed Access | Times Cited: 1
Analyze and Forecast the Cyber Attack Detection Process using Machine Learning Techniques
Nrusimhadri Sai Deepak, Tanneru Hanitha, Kiranmai Tanniru, et al.
(2023), pp. 1732-1738
Closed Access | Times Cited: 2
Securing Network Traffic Classification Models against Adversarial Examples Using Derived Variables
James Msughter Adeke, Guangjie Liu, Junjie Zhao, et al.
Future Internet (2023) Vol. 15, Iss. 12, pp. 405-405
Open Access | Times Cited: 2
Classify Me Correctly if You Can: Evaluating Adversarial Machine Learning Threats in NIDS
Neea Rusch, Asma Jodeiri Akbarfam, Hoda Maleki, et al.
Security and Privacy in Communication Networks (2024), pp. 3-22
Closed Access
Comparação do Impacto de Ataques Adversariais Contra Modelo de Classificação baseado em ML
Mateus Pelloso, Michele Nogueira
(2024), pp. 168-181
Closed Access
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