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Defending against Reconstruction Attacks through Differentially Private
  Federated Learning for Classification of Heterogeneous Chest X-Ray Data

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data

6 May 2022
Joceline Ziegler
Bjarne Pfitzner
H. Schulz
A. Saalbach
B. Arnrich
    FedML
ArXivPDFHTML

Papers citing "Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data"

8 / 8 papers shown
Title
Private, fair and accurate: Training large-scale, privacy-preserving AI
  models in medical imaging
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
Soroosh Tayebi Arasteh
Alexander Ziller
Christiane Kuhl
Marcus R. Makowski
S. Nebelung
R. Braren
Daniel Rueckert
Daniel Truhn
Georgios Kaissis
MedIm
32
17
0
03 Feb 2023
DPD-fVAE: Synthetic Data Generation Using Federated Variational
  Autoencoders With Differentially-Private Decoder
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder
Bjarne Pfitzner
B. Arnrich
FedML
22
19
0
21 Nov 2022
Federated Learning with Local Differential Privacy: Trade-offs between
  Privacy, Utility, and Communication
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
Muah Kim
Onur Gunlu
Rafael F. Schaefer
FedML
101
118
0
09 Feb 2021
Dopamine: Differentially Private Federated Learning on Medical Data
Dopamine: Differentially Private Federated Learning on Medical Data
Mohammad Malekzadeh
Burak Hasircioglu
N. Mital
K. Katarya
M. E. Ozfatura
Deniz Gündüz
OOD
FedML
26
50
0
27 Jan 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models
  for Chest X-Ray Interpretation
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
Alexander Ke
William Ellsworth
Oishi Banerjee
A. Ng
Pranav Rajpurkar
MedIm
65
101
0
18 Jan 2021
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,705
0
18 Mar 2020
Secure and Robust Machine Learning for Healthcare: A Survey
Secure and Robust Machine Learning for Healthcare: A Survey
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
45
374
0
21 Jan 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
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