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Privacy-preserving machine learning for healthcare: open challenges and
  future perspectives

Privacy-preserving machine learning for healthcare: open challenges and future perspectives

27 March 2023
Alejandro Guerra-Manzanares
L. J. L. Lopez
Michail Maniatakos
Farah E. Shamout
ArXivPDFHTML

Papers citing "Privacy-preserving machine learning for healthcare: open challenges and future perspectives"

4 / 4 papers shown
Title
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
32
0
0
05 May 2025
Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection
Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection
Vijay Srinivas Tida
Sonya Hsu
X. Hei
MedIm
42
5
0
07 Sep 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data
  Heterogeneity in Medical Imaging
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan
Liangqiong Qu
Qingyue Wei
Shih-Cheng Huang
Liyue Shen
D. Rubin
Lei Xing
Yuyin Zhou
FedML
78
90
0
17 May 2022
Secure and Robust Machine Learning for Healthcare: A Survey
Secure and Robust Machine Learning for Healthcare: A Survey
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
45
374
0
21 Jan 2020
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