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Using game theory to thwart multistage privacy intrusions when sharing data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/spe.2812openalex-snapshot
Flexible data anonymization using ARX—Current status and challenges ahead
inferredcites →https://doi.org/10.1007/978-3-662-47854-7_24openalex-snapshot
On Non-cooperative Genomic Privacy
inferredcites →https://doi.org/10.1007/s00414-008-0265-zopenalex-snapshot
Population and segregation data on 17 Y-STRs: results of a GEP-ISFG collaborative study
inferredcites →https://doi.org/10.1007/s00439-011-1042-5openalex-snapshot
Identifiability in biobanks: models, measures, and mitigation strategies
inferredcites →https://doi.org/10.1016/b978-0-12-816197-5.00007-3openalex-snapshot
Game theory for privacy-preserving sharing of genomic data
inferredcites →https://doi.org/10.1016/j.ajhg.2015.09.010openalex-snapshot
Privacy Risks from Genomic Data-Sharing Beacons
inferredcites →https://doi.org/10.1016/j.ajhg.2016.12.002openalex-snapshot
Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach
inferredcites →https://doi.org/10.1016/j.cell.2018.09.008openalex-snapshot
Statistical Detection of Relatives Typed with Disjoint Forensic and Biomedical Loci
inferredcites →https://doi.org/10.1016/j.cels.2016.04.013openalex-snapshot
Enabling Privacy-Preserving GWASs in Heterogeneous Human Populations
inferredcites →https://doi.org/10.1016/j.cels.2020.03.006openalex-snapshot
Privacy-Preserving Biomedical Database Queries with Optimal Privacy-Utility Trade-Offs
inferredcites →https://doi.org/10.1016/j.jbi.2004.04.005openalex-snapshot
How (not) to protect genomic data privacy in a distributed network: using trail re-identification to evaluate and design anonymity protection systems
inferredcites →https://doi.org/10.1016/j.jbi.2016.03.019openalex-snapshot
Optimizing annotation resources for natural language de-identification via a game theoretic framework
inferredcites →https://doi.org/10.1038/nature15393openalex-snapshot
A global reference for human genetic variation
inferredcites →https://doi.org/10.1038/nbt0409-349openalex-snapshot
SNP imputation in association studies
inferredcites →https://doi.org/10.1038/ng.436openalex-snapshot
Genomic privacy and limits of individual detection in a pool
inferredcites →https://doi.org/10.1038/nm0418-378openalex-snapshot
Experimenting with blockchain: Can one technology boost both data integrity and patients' pocketbooks?
inferredcites →https://doi.org/10.1038/nmeth.3746openalex-snapshot
Quantification of private information leakage from phenotype-genotype data: linking attacks
inferredcites →https://doi.org/10.1038/nrg2796openalex-snapshot
Genotype imputation for genome-wide association studies
inferredcites →https://doi.org/10.1038/nrg3067openalex-snapshot
Assessing and managing risk when sharing aggregate genetic variant data
inferredcites →https://doi.org/10.1038/nrg3218openalex-snapshot
From patients to partners: participant-centric initiatives in biomedical research
inferredcites →https://doi.org/10.1038/nrg3723openalex-snapshot
Routes for breaching and protecting genetic privacy
inferredcites →https://doi.org/10.1038/s41431-017-0045-7openalex-snapshot
Rules for processing genetic data for research purposes in view of the new EU General Data Protection Regulation
inferredcites →https://doi.org/10.1038/s41467-019-10617-yopenalex-snapshot
Facial recognition from DNA using face-to-DNA classifiers
inferredcites →https://doi.org/10.1038/s41587-019-0271-3openalex-snapshot
Data privacy in the age of personal genomics
inferredcites →https://doi.org/10.1038/s41587-019-0278-9openalex-snapshot
Database shares that transform research subjects into partners
inferredcites →https://doi.org/10.1038/s41588-020-0651-0openalex-snapshot
Privacy challenges and research opportunities for genomic data sharing
inferredcites →https://doi.org/10.1038/s41591-018-0272-7openalex-snapshot
Privacy in the age of medical big data
inferredcites →https://doi.org/10.1038/s43588-021-00044-9openalex-snapshot
Citizen-centered, auditable and privacy-preserving population genomics
inferredcites →https://doi.org/10.1038/s43588-021-00047-6openalex-snapshot
Data privacy through participant empowerment
inferredcites →https://doi.org/10.1055/s-0038-1634025openalex-snapshot
Protecting Genomic Sequence Anonymity with Generalization Lattices
inferredcites →https://doi.org/10.1056/nejmc1912496openalex-snapshot
The “All of Us” Research Program
inferredcites →https://doi.org/10.1056/nejmsr1809937openalex-snapshot
The “All of Us” Research Program
inferredcites →https://doi.org/10.1073/pnas.0911686107openalex-snapshot
Anonymization of electronic medical records for validating genome-wide association studies
inferredcites →https://doi.org/10.1073/pnas.1619944114openalex-snapshot
Linkage disequilibrium matches forensic genetic records to disjoint genomic marker sets
inferredcites →https://doi.org/10.1073/pnas.1711125114openalex-snapshot
Identification of individuals by trait prediction using whole-genome sequencing data
inferredcites →https://doi.org/10.1073/pnas.75.6.2868openalex-snapshot
Stepwise mutation model and distribution of allelic frequencies in a finite population.
inferredcites →https://doi.org/10.1093/bib/bbx139openalex-snapshot
Privacy-preserving techniques of genomic data—a survey
inferredcites →https://doi.org/10.1093/bioinformatics/bti584openalex-snapshot
simuPOP: a forward-time population genetics simulation environment
inferredcites →https://doi.org/10.1093/bioinformatics/btn179openalex-snapshot
Forward-time simulations of non-random mating populations using simuPOP
inferredcites →https://doi.org/10.1093/bioinformatics/btv018openalex-snapshot
Deterministic identification of specific individuals from GWAS results
inferredcites →https://doi.org/10.1093/bioinformatics/btx568openalex-snapshot
A utility maximizing and privacy preserving approach for protecting kinship in genomic databases
inferredcites →https://doi.org/10.1093/bioinformatics/bty643openalex-snapshot
Re-identification of individuals in genomic data-sharing beacons via allele inference
inferredcites →https://doi.org/10.1093/jamia/ocv004openalex-snapshot
R-U policy frontiers for health data de-identification
inferredcites →https://doi.org/10.1093/jamia/ocy149openalex-snapshot
Blockchain-based platforms for genomic data sharing: a de-centralized approach in response to the governance problems?
inferredcites →https://doi.org/10.1093/jlb/lsz007openalex-snapshot
The law of genetic privacy: applications, implications, and limitations
inferredcites →https://doi.org/10.1097/gim.0b013e3182227589openalex-snapshot
To share or not to share: A randomized trial of consent for data sharing in genome research
inferredcites →https://doi.org/10.1101/gr.207464.116openalex-snapshot
Realizing the potential of blockchain technologies in genomics
inferredcites →https://doi.org/10.1109/icde.2007.367856openalex-snapshot
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
inferredcites →https://doi.org/10.1109/msec.2020.2992821openalex-snapshot
Seven Ways to Evaluate the Utility of Synthetic Data
inferredcites →https://doi.org/10.1109/tcbb.2017.2709740openalex-snapshot
An Inference Attack on Genomic Data Using Kinship, Complex Correlations, and Phenotype Information
inferredcites →https://doi.org/10.1109/tcbb.2017.2779498openalex-snapshot
Bayesian Network Construction and Genotype-Phenotype Inference Using GWAS Statistics
inferredcites →https://doi.org/10.1109/tdsc.2011.52openalex-snapshot
Incentive Compatible Privacy-Preserving Distributed Classification
inferredcites →https://doi.org/10.1109/tkde.2008.129openalex-snapshot
k-Anonymization with Minimal Loss of Information
inferredcites →https://doi.org/10.1111/nyas.13259openalex-snapshot
Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States
inferredcites →https://doi.org/10.1126/sciadv.1701172openalex-snapshot
Leaking privacy and shadow profiles in online social networks
inferredcites →https://doi.org/10.1126/sciadv.aaw2140openalex-snapshot
Learning to learn from data: Using deep adversarial learning to construct optimal statistical procedures
inferredcites →https://doi.org/10.1126/science.1229566openalex-snapshot
Identifying Personal Genomes by Surname Inference
inferredcites →https://doi.org/10.1126/science.1234593openalex-snapshot
The Complexities of Genomic Identifiability
inferredcites →https://doi.org/10.1126/science.aaa1465openalex-snapshot
Privacy and human behavior in the age of information
inferredcites →https://doi.org/10.1126/science.aau4832openalex-snapshot
Identity inference of genomic data using long-range familial searches
inferredcites →https://doi.org/10.1142/9789811215636_0050openalex-snapshot
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data
inferredcites →https://doi.org/10.1142/s0218488502001648openalex-snapshot
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
inferredcites →https://doi.org/10.1142/s021848850200165xopenalex-snapshot
ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION
inferredcites →https://doi.org/10.1145/1653662.1653726openalex-snapshot
Learning your identity and disease from research papers
inferredcites →https://doi.org/10.1145/1754239.1754271openalex-snapshot
A method for evaluating marketer re-identification risk
inferredcites →https://doi.org/10.1145/2508859.2516707openalex-snapshot
Addressing the concerns of the lacks family
inferredcites →https://doi.org/10.1145/2665943.2665945openalex-snapshot
Reconciling Utility with Privacy in Genomics
inferredcites →https://doi.org/10.1145/2810103.2813610openalex-snapshot
Differential Privacy with Bounded Priors
inferredcites →https://doi.org/10.1145/3020003openalex-snapshot
Evaluating the Strength of Genomic Privacy Metrics
inferredcites →https://doi.org/10.1145/3035538openalex-snapshot
Quantifying Interdependent Risks in Genomic Privacy
inferredcites →https://doi.org/10.1145/3132847.3132951openalex-snapshot
Building a Dossier on the Cheap
inferredcites →https://doi.org/10.1145/3411497.3420214openalex-snapshot
Preserving Genomic Privacy via Selective Sharing
inferredcites →https://doi.org/10.1159/000334718openalex-snapshot
Balancing the Risks and Benefits of Genomic Data Sharing: Genome Research Participants’ Perspectives
inferredcites →https://doi.org/10.1161/circoutcomes.118.005122openalex-snapshot
Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing
inferredcites →https://doi.org/10.1184/r1/6625769openalex-snapshot
Simple Demographics Often Identify People Uniquely
inferredcites →https://doi.org/10.1186/gm527openalex-snapshot
Harvard Personal Genome Project: lessons from participatory public research
inferredcites →https://doi.org/10.1186/s12920-017-0282-1openalex-snapshot
Controlling the signal: Practical privacy protection of genomic data sharing through Beacon services
inferredcites →https://doi.org/10.1186/s13059-019-1741-0openalex-snapshot
Emerging technologies towards enhancing privacy in genomic data sharing
inferredcites →https://doi.org/10.1186/s13063-020-4120-yopenalex-snapshot
Evaluating the re-identification risk of a clinical study report anonymized under EMA Policy 0070 and Health Canada Regulations
inferredcites →https://doi.org/10.1197/jamia.m1603openalex-snapshot
An Evaluation of the Current State of Genomic Data Privacy Protection Technology and a Roadmap for the Future
inferredcites →https://doi.org/10.1371/journal.pgen.1009303openalex-snapshot
Creating artificial human genomes using generative neural networks
inferredcites →https://doi.org/10.1371/journal.pmed.1001779openalex-snapshot
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
inferredcites →https://doi.org/10.1371/journal.pone.0089204openalex-snapshot
openSNP–A Crowdsourced Web Resource for Personal Genomics
inferredcites →https://doi.org/10.1371/journal.pone.0120592openalex-snapshot
A Game Theoretic Framework for Analyzing Re-Identification Risk
inferredcites →https://doi.org/10.1371/journal.pone.0204417openalex-snapshot
A systematic literature review of individuals’ perspectives on privacy and genetic information in the United States
inferredcites →https://doi.org/10.14722/ndss.2020.23049openalex-snapshot
Genotype Extraction and False Relative Attacks: Security Risks to Third-Party Genetic Genealogy Services Beyond Identity Inference
inferredcites →https://doi.org/10.1515/popets-2015-0020openalex-snapshot
De-anonymizing Genomic Databases Using Phenotypic Traits
inferredcites →https://doi.org/10.15252/embr.201948316openalex-snapshot
Re‐identifiability of genomic data and the GDPR
inferredcites →https://doi.org/10.2139/ssrn.2257732openalex-snapshot
Identifying Participants in the Personal Genome Project by Name
inferredcites →https://doi.org/10.2310/jim.0b013e3181c9b2eaopenalex-snapshot
Technical and Policy Approaches to Balancing Patient Privacy and Data Sharing in Clinical and Translational Research
inferredcites →https://doi.org/10.2478/popets-2019-0006openalex-snapshot
Systematizing Genome Privacy Research: A Privacy-Enhancing Technologies Perspective
inferredcites →https://doi.org/10.2478/popets-2019-0007openalex-snapshot
My Genome Belongs to Me: Controlling Third Party Computation on Genomic Data
inferredcites →https://doi.org/10.2478/popets-2021-0036openalex-snapshot
Genome Reconstruction Attacks Against Genomic Data-Sharing Beacons
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4862090openalex-extracted
Optimizing Federated Learning with Local Differential Privacy: A Game-Theoretic Approach for Privacy-Utility Tradeoff
inferred← citeshttps://doi.org/10.1007/s44248-024-00018-yopenalex-snapshot
Data: to share or not to share? A Semi-Systematic Literature Review in (rational) data sharing in inter-organizational systems
inferred← citeshttps://doi.org/10.1016/b978-0-12-824010-6.00060-5openalex-snapshot
Chimeric cohorts and consortia can power and scale precision medicine
inferred← citeshttps://doi.org/10.1016/j.actpsy.2025.105176openalex-snapshot
Consenting to share data from electronic health records to research deposits: Constraints, obstacles, and proxy
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.111124openalex-snapshot
Strategic frameworks: A review of game theory methods for privacy preservation in digital health
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108449openalex-snapshot
Game-theoretic analytics for privacy preservation in Internet of Things networks: A survey
inferred← citeshttps://doi.org/10.1016/j.patter.2025.101320openalex-snapshot
A consensus privacy metrics framework for synthetic data
inferred← citeshttps://doi.org/10.1038/s41467-022-35295-1openalex-snapshot
A Multifaceted benchmarking of synthetic electronic health record generation models
inferred← citeshttps://doi.org/10.1038/s41467-023-38794-xopenalex-snapshot
Differentially private knowledge transfer for federated learning
inferred← citeshttps://doi.org/10.1038/s41576-022-00455-yopenalex-snapshot
Sociotechnical safeguards for genomic data privacy
inferred← citeshttps://doi.org/10.1080/10408363.2023.2195496openalex-snapshot
Current status and challenges in establishing reference intervals based on real-world data
inferred← citeshttps://doi.org/10.1093/jamia/ocad021openalex-snapshot
Managing re-identification risks while providing access to the All of Us research program
inferred← citeshttps://doi.org/10.1109/bibm55620.2022.9995513openalex-snapshot
Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model
inferred← citeshttps://doi.org/10.1109/tnb.2023.3284092openalex-snapshot
PanDa Game: Optimized Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model
inferred← citeshttps://doi.org/10.1145/3653982openalex-snapshot
HydraGAN: A Cooperative Agent Model for Multi-Objective Data Generation
inferred← citeshttps://doi.org/10.1186/s13059-025-03871-5openalex-snapshot
A reinforcement learning-based approach for dynamic privacy protection in genomic data sharing beacons
inferred← citeshttps://doi.org/10.2196/22769openalex-snapshot
Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review
inferred← citeshttps://doi.org/10.3389/fgene.2025.1629386openalex-snapshot
A decade of research on genetic privacy: the findings of the GetPreCiSe Center at Vanderbilt University
inferred← citeshttps://doi.org/10.3390/sym17071069openalex-snapshot
Personal Data Value Realization and Symmetry Enhancement Under Social Service Orientation: A Tripartite Evolutionary Game Approach
inferred← citeshttps://doi.org/10.3390/sym17101639openalex-snapshot
Dynamic Evolution Analysis of Incentive Strategies and Symmetry Enhancement in the Personal-Data Valorization Industry Chain
inferred← citeshttps://doi.org/10.64628/aai.q36g7nsgdopenalex-snapshot
The best way to protect personal biomedical data from hackers could be to treat the problem like a game
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