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Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial
  Attacks

Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks

12 October 2023
Erfan Darzi
N. Sijtsema
P. V. Ooijen
ArXivPDFHTML

Papers citing "Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks"

3 / 3 papers shown
Title
Robust deep learning-based semantic organ segmentation in hyperspectral
  images
Robust deep learning-based semantic organ segmentation in hyperspectral images
Silvia Seidlitz
Jiansheng Fang
Jan Odenthal
Berkin Özdemir
H. Fu
...
Jiang-Dong Liu
Martin Wagner
Felix Nickel
Beat P. Müller-Stich
Lena Maier-Hein
32
8
0
09 Nov 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation
  in Federated Learning
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So
Chaoyang He
Chien-Sheng Yang
Songze Li
Qian-long Yu
Ramy E. Ali
Başak Güler
Salman Avestimehr
FedML
61
164
0
29 Sep 2021
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,833
0
08 Jul 2016
1