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Local Model Reconstruction Attacks in Federated Learning and their Uses

28 October 2022
Ilias Driouich
Chuan Xu
Giovanni Neglia
F. Giroire
Eoin Thomas
    AAML
    FedML
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Papers citing "Local Model Reconstruction Attacks in Federated Learning and their Uses"

5 / 5 papers shown
Title
Opacus: User-Friendly Differential Privacy Library in PyTorch
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
144
348
0
25 Sep 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
786
0
15 Feb 2021
secureTF: A Secure TensorFlow Framework
secureTF: A Secure TensorFlow Framework
D. Quoc
Franz Gregor
Sergei Arnautov
Roland Kunkel
Pramod Bhatotia
Christof Fetzer
44
40
0
20 Jan 2021
A High Probability Analysis of Adaptive SGD with Momentum
A High Probability Analysis of Adaptive SGD with Momentum
Xiaoyun Li
Francesco Orabona
81
64
0
28 Jul 2020
The Power of Linear Reconstruction Attacks
The Power of Linear Reconstruction Attacks
S. Kasiviswanathan
M. Rudelson
Adam D. Smith
AAML
57
54
0
08 Oct 2012
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