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2202.06924
Cited By
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
14 February 2022
Ali Hatamizadeh
Hongxu Yin
Pavlo Molchanov
Andriy Myronenko
Wenqi Li
Prerna Dogra
Andrew Feng
Mona G. Flores
Jan Kautz
Daguang Xu
H. Roth
FedML
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Papers citing
"Do Gradient Inversion Attacks Make Federated Learning Unsafe?"
11 / 11 papers shown
Title
Differentially Private 2D Human Pose Estimation
Kaushik Bhargav Sivangi
Idris Zakariyya
Paul Henderson
F. Deligianni
124
0
0
14 Apr 2025
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Zilinghan Li
Shilan He
Ze Yang
Minseok Ryu
Kibaek Kim
Ravi K. Madduri
FedML
52
5
0
17 Sep 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis
Amine Bechar
Y. Elmir
Yassine Himeur
Rafik Medjoudj
Abbes Amira
MedIm
29
4
0
30 May 2024
A Systematic Review of Federated Generative Models
Ashkan Vedadi Gargary
Emiliano De Cristofaro
AI4CE
36
2
0
26 May 2024
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx
Trung-Hieu Hoang
Jordan D. Fuhrman
Ravi K. Madduri
Miao Li
Pranshu Chaturvedi
...
Kibaek Kim
Minseok Ryu
Ryan Chard
Eliu A. Huerta
Maryellen L. Giger
24
5
0
14 Dec 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
Juexiao Zhou
Longxi Zhou
Di Wang
Xiaopeng Xu
Haoyang Li
Yuetan Chu
Wenkai Han
Xin Gao
15
20
0
20 Feb 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
Soroosh Tayebi Arasteh
Alexander Ziller
Christiane Kuhl
Marcus R. Makowski
S. Nebelung
R. Braren
Daniel Rueckert
Daniel Truhn
Georgios Kaissis
MedIm
32
17
0
03 Feb 2023
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
H. Roth
Ali Hatamizadeh
Ziyue Xu
Can Zhao
Wenqi Li
Andriy Myronenko
Daguang Xu
FedML
37
9
0
22 Aug 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
189
358
0
24 Mar 2020
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,705
0
18 Mar 2020
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