Transferability of Adversarial Attacks on Tiny Deep Learning Models for IoT Unmanned Aerial Vehicles-Reference-Cited by-同舟云学术

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Transferability of Adversarial Attacks on Tiny Deep Learning Models for IoT Unmanned Aerial Vehicles

Published:2023 Issue: Volume: Page:1-1
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhou Shan¹,Huang Xianting¹,Obaidat Mohammad S.²^ORCID,Alzahrani Bander A.³^ORCID,Han Xuming¹^ORCID,Kumari Saru⁴^ORCID,Chen Chien-Ming⁵^ORCID

Affiliation:

1. Jinan University, Guangzhou, China

2. King Abdullah II School of Information Technology, The University of Jordan, Amman, Jordan

3. Faculty of Computing anf Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia

4. Department of Mathematics, Chaudhary Charan Singh University, Meerut, India

5. Nanjing University of Information Science and Technology, Nanjing, China

Funder

King Abdulaziz University, DSR, Jeddah, Saudi Arabia.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/6702522/10314427.pdf?arnumber=10314427

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A contrastive learning approach for enhanced robustness for strengthening federated intelligence in internet of visual things;Internet of Things;2024-07

2. Multi-UAV Hierarchical Intelligent Traffic Offloading Network Optimization Based on Deep Federated Learning;IEEE Internet of Things Journal;2024-06-15

3. UAV-Based Secure Data Communication: Multilevel Authentication Perspective;Sensors;2024-02-03

4. Adversarial Examples for Vehicle Detection With Projection Transformation;IEEE Transactions on Geoscience and Remote Sensing;2024

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