Generative joint source-channel coding for semantic image transmission
Recent works have shown that joint source-channel coding (JSCC) schemes using deep
neural networks (DNNs), called DeepJSCC, provide promising results in wireless image …
neural networks (DNNs), called DeepJSCC, provide promising results in wireless image …
Channel-adaptive wireless image transmission with OFDM
We present a learning-based channel-adaptive joint source and channel coding (CA-JSCC)
scheme for wireless image transmission over multipath fading channels. The proposed …
scheme for wireless image transmission over multipath fading channels. The proposed …
Deep joint source-channel and encryption coding: Secure semantic communications
Deep learning driven joint source-channel coding (JSCC) for wireless image or video
transmission, also called DeepJSCC, has been a topic of interest recently with very …
transmission, also called DeepJSCC, has been a topic of interest recently with very …
Generative AI for Secure Physical Layer Communications: A Survey
Generative Artificial Intelligence (GAI) stands at the forefront of AI innovation, demonstrating
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
Commin: Semantic image communications as an inverse problem with inn-guided diffusion models
J Chen, D You, D Gündüz… - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Joint source-channel coding schemes based on deep neural networks (DeepJSCC) have
recently achieved remarkable performance for wireless image transmission. However, these …
recently achieved remarkable performance for wireless image transmission. However, these …
Secure deep-JSCC against multiple eavesdroppers
In this paper, a generalization of deep learning-aided joint source channel coding (Deep-
JSCC) approach to secure communications is studied. We propose an end-to-end (E2E) …
JSCC) approach to secure communications is studied. We propose an end-to-end (E2E) …
Active privacy-utility trade-off against inference in time-series data sharing
Internet of Things devices have become highly popular thanks to the services they offer.
However, they also raise privacy concerns since they share fine-grained time-series user …
However, they also raise privacy concerns since they share fine-grained time-series user …
A Nearly Information Theoretically Secure Approach for Semantic Communications over Wiretap Channel
This paper addresses the challenge of achieving information-theoretic security in semantic
communication (SeCom) over a wiretap channel, where a legitimate receiver coexists with …
communication (SeCom) over a wiretap channel, where a legitimate receiver coexists with …
Multi-user privacy mechanism design with non-zero leakage
A Zamani, TJ Oechtering… - 2023 IEEE Information …, 2023 - ieeexplore.ieee.org
A privacy mechanism design problem is studied through the lens of information theory. In
this work, an agent observes useful data Y=(Y 1,…, YN) that is correlated with private data …
this work, an agent observes useful data Y=(Y 1,…, YN) that is correlated with private data …
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 …
communications. However, JSCC is vulnerable to privacy issues due to the high relevance …