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Perfectly Accurate Membership Inference by a Dishonest Central Server in
  Federated Learning

Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning

30 March 2022
Georg Pichler
Marco Romanelli
L. Rey Vega
Pablo Piantanida
    FedML
ArXivPDFHTML

Papers citing "Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning"

2 / 2 papers shown
Title
Fishing for User Data in Large-Batch Federated Learning via Gradient
  Magnification
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Yuxin Wen
Jonas Geiping
Liam H. Fowl
Micah Goldblum
Tom Goldstein
FedML
89
92
0
01 Feb 2022
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
69
181
0
06 Dec 2021
1