Privacy-Preserving Outsourcing Learning for Connected Autonomous Vehicles: Challenges, Solutions, and Perspectives-Reference-Cited by-同舟云学术

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Privacy-Preserving Outsourcing Learning for Connected Autonomous Vehicles: Challenges, Solutions, and Perspectives

Published:2024-05 Issue:3 Volume:38 Page:41-47
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

Xiong Jinbo¹^ORCID,Bi Renwan¹^ORCID,Zhang Yuanyuan²^ORCID,Li Qi³^ORCID,Lin Li²^ORCID,Tian Youliang⁴^ORCID

Affiliation:

1. Fujian Provincial Key Laboratory of Network Security and Cryptology, ujian Normal University, Fuzhou, China

2. College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China

3. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

4. College of Computer Science and Technology, Guizhou University, Guiyang, China

Funder

Natural Science Foundation of Fujian Proince

Open Research Fund of State Key Laboratory of Integrated Services Networks

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/65/10542471/10443617.pdf?arnumber=10443617

Reference15 articles.

1. Machine-Learning-Enabled Cooperative Perception for Connected Autonomous Vehicles: Challenges and Opportunities

2. A novel flow-vector generation approach for malicious traffic detection

3. Self-driving cars and data collection: Privacy perceptions of networked autonomous vehicles;Bloom

4. DeepAutoD: Research on Distributed Machine Learning Oriented Scalable Mobile Communication Security Unpacking System

5. An Efficient Privacy-Preserving Outsourced Calculation Toolkit With Multiple Keys

Cited by 1 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. Data Privacy and Security in Autonomous Connected Vehicles in Smart City Environment;Big Data and Cognitive Computing;2024-08-23

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