Disentangled Information Bottleneck Guided Privacy-Protective Joint Source and Channel Coding for Image Transmission

Joint source and channel coding (JSCC) has attracted increasing attention in semantic communications. However, JSCC is vulnerable to privacy issues due to the high relevance between the source image and channel input. In this paper, we propose a disentangled information bottleneck guided privacy-pro...

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Bibliographic Details
Published in:	IEEE transactions on communications Vol. 72; no. 11; pp. 6992 - 7005
Main Authors:	Sun, Lunan, Yang, Yang, Chen, Mingzhe, Guo, Caili
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.11.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Coding Design optimization Distortion Eavesdropping Encryption Image communication Image quality Image reconstruction Image transmission information bottleneck Joint source and channel coding Maximum entropy Neural networks Noise measurement Privacy privacy protection Protection semantic communication
ISSN:	0090-6778, 1558-0857
Online Access:	Get full text
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