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Privacy-Preserving Distributed Deep Learning for Clinical Data

Privacy-Preserving Distributed Deep Learning for Clinical Data

4 December 2018
Brett K. Beaulieu-Jones
W. Yuan
S. G. Finlayson
Zhiwei Steven Wu
    OODFedML
ArXiv (abs)PDFHTML

Papers citing "Privacy-Preserving Distributed Deep Learning for Clinical Data"

23 / 23 papers shown
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
Duy M. Nguyen
Hasan Md Tusfiqur Alam
Trung Quoc Nguyen
Devansh Srivastav
H. Profitlich
Ngan Le
Daniel Sonntag
387
10
0
07 Jan 2025
Privacy-Preserving Customer Churn Prediction Model in the Context of
  Telecommunication Industry
Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry
J. K. Sana
Mohammad Sohel Rahman
M. S. Rahman
256
4
0
03 Nov 2024
Federated Learning in Multi-Center Critical Care Research: A Systematic
  Case Study using the eICU Database
Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database
Arash Mehrjou
Ashkan Soleymani
Annika Buchholz
J. Hetzel
Patrick Schwab
Stefan Bauer
OODFedML
183
5
0
20 Apr 2022
NanoBatch Privacy: Enabling fast Differentially Private learning on the
  IPU
NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU
Edward H. Lee
M. M. Krell
Alexander Tsyplikhin
Victoria Rege
E. Colak
Kristen W. Yeom
FedML
213
0
0
24 Sep 2021
Handling Data Heterogeneity with Generative Replay in Collaborative
  Learning for Medical Imaging
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging
Liangqiong Qu
N. Balachandar
Miao Zhang
D. Rubin
MedIm
329
28
0
24 Jun 2021
Ten Quick Tips for Deep Learning in Biology
Ten Quick Tips for Deep Learning in Biology
Benjamin D. Lee
A. Gitter
Casey S. Greene
S. Raschka
F. Maguire
...
Alexandr A Kalinin
T. Triche
Benjamin J. Lengerich
Timothy J. Triche Jr
S. Boca
OOD
309
31
0
29 May 2021
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Eric P. Lehman
Sarthak Jain
Karl Pichotta
Yoav Goldberg
Byron C. Wallace
OODMIACV
290
146
0
15 Apr 2021
Investigating Membership Inference Attacks under Data Dependencies
Investigating Membership Inference Attacks under Data Dependencies
Thomas Humphries
Simon Oya
Lindsey Tulloch
Matthew Rafuse
I. Goldberg
Urs Hengartner
Florian Kerschbaum
MIACVMIALM
787
48
0
23 Oct 2020
Privacy-Preserving Object Detection & Localization Using Distributed
  Machine Learning: A Case Study of Infant Eyeblink Conditioning
Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning
Stefan Zwaard
H. Boele
H. Alers
Christos Strydis
C. Lew‐Williams
Zaid Al-Ars
FedML
211
3
0
14 Oct 2020
Chasing Your Long Tails: Differentially Private Prediction in Health
  Care Settings
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings
Vinith Suriyakumar
Nicolas Papernot
Anna Goldenberg
Marzyeh Ghassemi
OOD
235
78
0
13 Oct 2020
Precision Health Data: Requirements, Challenges and Existing Techniques
  for Data Security and Privacy
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Chandra Thapa
S. Çamtepe
190
281
0
24 Aug 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
Reihaneh Torkzadehmahani
Reza Nasirigerdeh
David B. Blumenthal
T. Kacprowski
M. List
...
Harald H. H. W. Schmidt
A. Schwalber
Christof Tschohl
Andrea Wohner
Jan Baumbach
350
85
0
22 Jul 2020
How to Democratise and Protect AI: Fair and Differentially Private
  Decentralised Deep Learning
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep LearningIEEE Transactions on Dependable and Secure Computing (TDSC), 2020
Lingjuan Lyu
Yitong Li
Karthik Nandakumar
Jiangshan Yu
Jiabo He
FedML
156
54
0
18 Jul 2020
SPEED: Secure, PrivatE, and Efficient Deep learning
SPEED: Secure, PrivatE, and Efficient Deep learning
Arnaud Grivet Sébert
Rafael Pinot
Martin Zuber
Cédric Gouy-Pailler
Renaud Sirdey
FedML
261
25
0
16 Jun 2020
Revisiting Membership Inference Under Realistic Assumptions
Revisiting Membership Inference Under Realistic Assumptions
Bargav Jayaraman
Lingxiao Wang
Katherine Knipmeyer
Quanquan Gu
David Evans
355
166
0
21 May 2020
Privacy in Deep Learning: A Survey
Privacy in Deep Learning: A Survey
Fatemehsadat Mirshghallah
Mohammadkazem Taram
Praneeth Vepakomma
Abhishek Singh
Ramesh Raskar
H. Esmaeilzadeh
FedML
595
149
0
25 Apr 2020
A Federated Deep Learning Framework for Privacy Preservation and
  Communication Efficiency
A Federated Deep Learning Framework for Privacy Preservation and Communication EfficiencyJournal of systems architecture (JSA), 2020
Tien-Dung Cao
Tram Truong-Huu
H. Tran
K. Tran
FedML
232
30
0
22 Jan 2020
Secure and Robust Machine Learning for Healthcare: A Survey
Secure and Robust Machine Learning for Healthcare: A SurveyIEEE Reviews in Biomedical Engineering (RBME), 2020
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAMLOOD
354
461
0
21 Jan 2020
Think Locally, Act Globally: Federated Learning with Local and Global
  Representations
Think Locally, Act Globally: Federated Learning with Local and Global Representations
Paul Pu Liang
Terrance Liu
Liu Ziyin
Nicholas B. Allen
Randy P. Auerbach
David Brent
Ruslan Salakhutdinov
Louis-Philippe Morency
FedML
726
712
0
06 Jan 2020
Federated and Differentially Private Learning for Electronic Health
  Records
Federated and Differentially Private Learning for Electronic Health Records
Stephen Pfohl
Andrew M. Dai
Katherine A. Heller
OODFedML
210
57
0
13 Nov 2019
Trade-offs and Guarantees of Adversarial Representation Learning for
  Information Obfuscation
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation
Han Zhao
Jianfeng Chi
Yuan Tian
Geoffrey J. Gordon
MIACV
215
2
0
19 Jun 2019
Evaluating Differentially Private Machine Learning in Practice
Evaluating Differentially Private Machine Learning in Practice
Bargav Jayaraman
David Evans
415
7
0
24 Feb 2019
Differential Privacy Techniques for Cyber Physical Systems: A Survey
Differential Privacy Techniques for Cyber Physical Systems: A Survey
M. Hassan
M. H. Rehmani
Jinjun Chen
394
503
0
06 Dec 2018
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