Privacy-preserving techniques for analysis of medical data: Secure multi-party computation

Gabriele Spini; Marie Beth van Egmond; Thijs Veugen; Alex Sangers

doi:10.1561/9781638282372.ch12

Privacy-preserving techniques for analysis of medical data: Secure multi-party computation

Gabriele Spini^*, Marie Beth van Egmond, Thijs Veugen, Alex Sangers

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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Original language	English
Title of host publication	Technology in Healthcare
Subtitle of host publication	Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment
Publisher	Now Publishers Inc
Pages	154-171
Number of pages	18
ISBN (Electronic)	9781638282372
ISBN (Print)	9781638282365
DOIs	https://doi.org/10.1561/9781638282372.ch12
Publication status	Published - 8 Jul 2024

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10.1561/9781638282372.ch12Licence: CC BY-NC

978-1-63828-237-2.ch12Final published version, 335 KBLicence: CC BY-NC

Cite this

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Privacy-preserving techniques for analysis of medical data: Secure multi-party computation. / Spini, Gabriele; van Egmond, Marie Beth; Veugen, Thijs et al.
Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment. Now Publishers Inc, 2024. p. 154-171.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

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AU - Spini, Gabriele

AU - van Egmond, Marie Beth

AU - Veugen, Thijs

AU - Sangers, Alex

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BT - Technology in Healthcare

PB - Now Publishers Inc

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Privacy-preserving techniques for analysis of medical data: Secure multi-party computation

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