Edge-Cooperative Privacy-Preserving Object Detection Over Random Point Cloud Shares for Connected Autonomous Vehicles

Author:

Bi Renwan1ORCID,Xiong Jinbo1ORCID,Tian Youliang2ORCID,Li Qi3ORCID,Liu Ximeng4ORCID

Affiliation:

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

2. State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China

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

4. College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

Funder

National Natural Science Foundation of China

Guangxi Key Laboratory of Cryptography and Information Security

Natural Science Foundation of Fujian Province

Open Research Fund of Key Laboratory of Cryptography of Zhejiang Province

Natural Science Foundation of Jiangsu Higher Education Institutions of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Reference50 articles.

1. Design method of secure computing protocol for deep neural network;bi;Chin J Netw Inf Secur,2020

2. PointNet++: Deep hierarchical feature learning on point sets in a metric space;qi;Proc Adv Neural Inf Process Syst,2017

3. Privacy aware person detection in surveillance data;de coninck;arXiv 2110 15171,2021

4. Learning to Anonymize Faces for Privacy Preserving Action Detection

5. Privacy-Aware Edge Computing System For People Tracking

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