Wireless Image Transmission With Semantic and Security Awareness

Author:

Zhang Maojun1,Li Yang2,Zhang Zezhong3,Zhu Guangxu4ORCID,Zhong Caijun1ORCID

Affiliation:

1. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

2. China Academy of Information and Communications Technology, Beijing, China

3. The Chinese University of Hong Kong (Shenzhen), Shenzhen, China

4. Shenzhen Research Institute of Big Data, Shenzhen, China

Funder

Basic Research Project of Hetao Shenzhen-HK S&T Cooperation Zone

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference16 articles.

1. Deep joint source-channel and encryption coding: Secure semantic communications;tung;arXiv 2208 09245,2022

2. Deep Learning for the Gaussian Wiretap Channel

3. Density modeling of images using a generalized normalization transformation;ballé;arXiv 1511 06281,2015

4. Deep residual learning for image compression;cheng;Proc IEEE Conf Comput Vis Pattern Recognit (CVPR),2019

5. Wiretap Code Design by Neural Network Autoencoders

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2. Secure Design for Integrated Sensing and Semantic Communication System;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

3. Video Compression by Chroma Prediction Using Semantic Communications;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

4. A Semantic Communication and VVC Based Hybrid Video Coding System;IEEE Access;2024

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