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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on communications Jg. 72; H. 11; S. 6992 - 7005
Hauptverfasser:	Sun, Lunan, Yang, Yang, Chen, Mingzhe, Guo, Caili
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!