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Applied Artificial Intelligence

An International Journal

Volume 37, 2023 - Issue 1

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Research Article

Towards Autonomous Driving Model Resistant to Adversarial Attack

Kabid Hassan Shiblya Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, JapanCorrespondence[email protected]

Md Delwar Hossaina Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan

Hiroyuki Inoueb Faculty of Information Science and Engineering, Kyoto Sangyo University, Kyoto, Japan

Yuzo Taenakaa Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan

Youki Kadobayashia Division of Information Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan

Article: 2193461 | Received 31 Dec 2022, Accepted 16 Mar 2023, Published online: 24 Mar 2023

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https://doi.org/10.1080/08839514.2023.2193461
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Citations (3)

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Articles from other publishers (3)

Manzoor Hussain & Jang-Eui Hong. (2023) Reconstruction-Based Adversarial Attack Detection in Vision-Based Autonomous Driving Systems. Machine Learning and Knowledge Extraction 5:4, pages 1589-1611.
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Vasileios Pantelakis, Panagiotis Bountakas, Aristeidis Farao & Christos Xenakis. (2023) Adversarial Machine Learning Attacks on Multiclass Classification of IoT Network Traffic. Adversarial Machine Learning Attacks on Multiclass Classification of IoT Network Traffic.

Mansi Girdhar, Junho Hong & John Moore. (2023) Cybersecurity of Autonomous Vehicles: A Systematic Literature Review of Adversarial Attacks and Defense Models. IEEE Open Journal of Vehicular Technology 4, pages 417-437.
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