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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on communications Ročník 72; číslo 11; s. 6992 - 7005
Hlavní autori:	Sun, Lunan, Yang, Yang, Chen, Mingzhe, Guo, Caili
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.11.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!