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Cited By
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks
8 September 2023
Daniel Scheliga
Patrick Mäder
M. Seeland
FedML
AAML
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Papers citing
"Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks"
1 / 1 papers shown
Title
Analyzing Inference Privacy Risks Through Gradients in Machine Learning
Conference on Computer and Communications Security (CCS), 2024
Zhuohang Li
Andrew Lowy
Jing Liu
T. Koike-Akino
K. Parsons
Bradley Malin
Ye Wang
FedML
224
6
0
29 Aug 2024
1
