PanDa Game: Optimized Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model-Reference-Cited by-同舟云学术

PanDa Game: Optimized Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model

Published:2023-10 Issue:4 Volume:22 Page:808-817
ISSN:1536-1241
Container-title:IEEE Transactions on NanoBioscience
language:
Short-container-title:IEEE Trans.on Nanobioscience

Author:

Gourabathina Abinitha¹,Wan Zhiyu²^ORCID,Brown J. Thomas²,Yan Chao²,Malin Bradley A.²

Affiliation:

1. Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ, USA

2. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA

Funder

NIH

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Pharmaceutical Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

Link

https://ieeexplore.ieee.org/ielam/7728/10269102/10146322-aam.pdf

Reference29 articles.

1. Optimizing annotation resources for natural language de-identification via a game theoretic framework

2. A Game Theoretic Framework for Analyzing Re-Identification Risk

3. Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach

4. Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing

5. Dynamically adjusting case reporting policy to maximize privacy and public health utility in the face of a pandemic

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1. Guest Editorial Biomedical and Health Informatics Special Section;IEEE Transactions on NanoBioscience;2023-10