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SmoothNets: Optimizing CNN architecture design for differentially
  private deep learning

SmoothNets: Optimizing CNN architecture design for differentially private deep learning

9 May 2022
Nicolas W. Remerscheid
Alexander Ziller
Daniel Rueckert
Georgios Kaissis
ArXiv (abs)PDFHTML

Papers citing "SmoothNets: Optimizing CNN architecture design for differentially private deep learning"

3 / 3 papers shown
Title
R+R:Understanding Hyperparameter Effects in DP-SGD
R+R:Understanding Hyperparameter Effects in DP-SGD
Felix Morsbach
J. Reubold
T. Strufe
77
0
0
04 Nov 2024
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine
  Learning
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning
Reza Nasirigerdeh
Javad Torkzadehmahani
Daniel Rueckert
Georgios Kaissis
40
1
0
30 Sep 2022
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion
  Attacks
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
SILMAAML
61
17
0
01 Mar 2022
1