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Comments on "Privacy-Enhanced Federated Learning Against Poisoning
  Adversaries"

Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries"

30 September 2024
T. Schneider
Ajith Suresh
Hossein Yalame
    FedML
ArXivPDFHTML

Papers citing "Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries""

2 / 2 papers shown
Title
Inverting Gradients -- How easy is it to break privacy in federated
  learning?
Inverting Gradients -- How easy is it to break privacy in federated learning?
Jonas Geiping
Hartmut Bauermeister
Hannah Dröge
Michael Moeller
FedML
72
1,217
0
31 Mar 2020
Deep Models Under the GAN: Information Leakage from Collaborative Deep
  Learning
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
FedML
107
1,385
0
24 Feb 2017
1