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FedComm: Federated Learning as a Medium for Covert Communication

FedComm: Federated Learning as a Medium for Covert Communication

21 January 2022
Dorjan Hitaj
Giulio Pagnotta
Briland Hitaj
Fernando Perez-Cruz
L. Mancini
    FedML
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Papers citing "FedComm: Federated Learning as a Medium for Covert Communication"

5 / 55 papers shown
Title
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
380
17,437
0
17 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.5K
100,213
0
04 Sep 2014
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data
  from Machine Learning Classifiers
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers
G. Ateniese
G. Felici
L. Mancini
A. Spognardi
Antonio Villani
Domenico Vitali
72
460
0
19 Jun 2013
Speech Recognition with Deep Recurrent Neural Networks
Speech Recognition with Deep Recurrent Neural Networks
Alex Graves
Abdel-rahman Mohamed
Geoffrey E. Hinton
212
8,513
0
22 Mar 2013
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