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Harvesting Private Medical Images in Federated Learning Systems with
  Crafted Models

Harvesting Private Medical Images in Federated Learning Systems with Crafted Models

13 July 2024
Shanghao Shi
Md Shahedul Haque
Abhijeet Parida
M. Linguraru
Y. T. Hou
Syed Muhammad Anwar
W. Lou
    FedML
ArXivPDFHTML

Papers citing "Harvesting Private Medical Images in Federated Learning Systems with Crafted Models"

10 / 10 papers shown
Title
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
114
1
0
13 Jul 2024
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated
  Learning via Latent Space Reconstruction
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction
Shanghao Shi
Ning Wang
Yang Xiao
Chaoyu Zhang
Yi Shi
Y. T. Hou
W. Lou
35
8
0
10 Nov 2023
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
182
97
0
01 Feb 2022
Communication-Computation Efficient Secure Aggregation for Federated
  Learning
Communication-Computation Efficient Secure Aggregation for Federated Learning
Beongjun Choi
Jy-yong Sohn
Dong-Jun Han
Jaekyun Moon
FedML
65
94
0
10 Dec 2020
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated
  Learning
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
S. Kadhe
Nived Rajaraman
O. O. Koyluoglu
Kannan Ramchandran
FedML
69
161
0
23 Sep 2020
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
100
1,228
0
31 Mar 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest X-Ray Images
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang
A. Wong
OOD
107
2,503
0
22 Mar 2020
Robust Aggregation for Federated Learning
Robust Aggregation for Federated Learning
Krishna Pillutla
Sham Kakade
Zaïd Harchaoui
FedML
102
652
0
31 Dec 2019
Eavesdrop the Composition Proportion of Training Labels in Federated
  Learning
Eavesdrop the Composition Proportion of Training Labels in Federated Learning
Lixu Wang
Shichao Xu
Tianlin Li
Qi Zhu
FedML
73
63
0
14 Oct 2019
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,468
0
17 Feb 2016
1