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Reconciling AI Performance and Data Reconstruction Resilience for
  Medical Imaging

Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging

5 December 2023
Alexander Ziller
Tamara T. Mueller
Simon Stieger
Leonhard F. Feiner
Johannes Brandt
R. Braren
Daniel Rueckert
Georgios Kaissis
ArXivPDFHTML

Papers citing "Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging"

3 / 3 papers shown
Title
Visual Privacy Auditing with Diffusion Models
Visual Privacy Auditing with Diffusion Models
Kristian Schwethelm
Johannes Kaiser
Moritz Knolle
Daniel Rueckert
Daniel Rueckert
Alexander Ziller
DiffM
AAML
24
0
0
12 Mar 2024
When the Curious Abandon Honesty: Federated Learning Is Not Private
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
AAML
62
143
0
06 Dec 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
226
74,467
0
18 May 2015
1