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Adversarial Networks for Secure Wireless Communications - Slides

Abstract: 

We propose a data-driven secure wireless communication scheme, in which the goal is to transmit a signal to a legitimate receiver with minimal distortion, while keeping some information about the signal private from an eavesdropping adversary. When the data distribution is known, the optimal trade-off between the reconstruction quality at the legitimate receiver and the leakage to the adversary can be characterised in the information theoretic asymptotic limit. In this paper, we assume that we do not know the data distribution, but instead have access to a dataset, and we are interested in the finite blocklength regime rather than the asymptotic limits. We propose a data-driven adversarially trained deep joint source-channel coding architecture, and demonstrate through experiments with CIFAR-10 dataset that it is possible to transmit to the legitimate receiver with minimal end-to-end distortion while concealing information on the image class from the adversary.

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Paper Details

Authors:
Thomas Marchioro, Nicola Laurenti, Deniz Gunduz
Submitted On:
16 May 2020 - 4:33pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Thomas Marchioro
Paper Code:
4693
Document Year:
2020
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marchiorot-slides.pdf

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[1] Thomas Marchioro, Nicola Laurenti, Deniz Gunduz, "Adversarial Networks for Secure Wireless Communications - Slides", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5380. Accessed: Sep. 24, 2020.
@article{5380-20,
url = {http://sigport.org/5380},
author = {Thomas Marchioro; Nicola Laurenti; Deniz Gunduz },
publisher = {IEEE SigPort},
title = {Adversarial Networks for Secure Wireless Communications - Slides},
year = {2020} }
TY - EJOUR
T1 - Adversarial Networks for Secure Wireless Communications - Slides
AU - Thomas Marchioro; Nicola Laurenti; Deniz Gunduz
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5380
ER -
Thomas Marchioro, Nicola Laurenti, Deniz Gunduz. (2020). Adversarial Networks for Secure Wireless Communications - Slides. IEEE SigPort. http://sigport.org/5380
Thomas Marchioro, Nicola Laurenti, Deniz Gunduz, 2020. Adversarial Networks for Secure Wireless Communications - Slides. Available at: http://sigport.org/5380.
Thomas Marchioro, Nicola Laurenti, Deniz Gunduz. (2020). "Adversarial Networks for Secure Wireless Communications - Slides." Web.
1. Thomas Marchioro, Nicola Laurenti, Deniz Gunduz. Adversarial Networks for Secure Wireless Communications - Slides [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5380