Routes for breaching and protecting genetic privacy
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Abstract (arXiv)
We are entering the era of ubiquitous genetic information for research, clinical care, and personal curiosity. Sharing these datasets is vital for rapid progress in understanding the genetic basis of human diseases. However, one growing concern is the ability to protect the genetic privacy of the data originators. Here, we technically map threats to genetic privacy and discuss potential mitigation strategies for privacy-preserving dissemination of genetic data.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Oct 2013.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 1; 2026: 3.
7 papers.
- 2023Synthesizing Mixed-type Electronic Health Records using Diffusion Modelscited by 18
- 2024Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industrycited by 3
- 2024Towards more accurate and useful data anonymity vulnerability measurescited by 1
- 2025Privacy-Preserving Fair Synthetic Tabular Datacited by 1
- 2026Quantifying Memorization and Privacy Risks in Genomic Language Modelscited by 1
- 2026SNPgen: Phenotype-Supervised Genotype Representation and Synthetic Data Generation via Latent Diffusioncited by 0
- 2026Privacy-preserving federated tensor decomposition of single-cell immune data: recovering multicellular programs across institutionscited by 0
- 2026Privacy-preserving federated tensor decomposition of single-cell immune data: recovering multicellular programs across institutions22 Jun 2026
- 2026SNPgen: Phenotype-Supervised Genotype Representation and Synthetic Data Generation via Latent Diffusion11 Mar 2026
- 2026Quantifying Memorization and Privacy Risks in Genomic Language Models9 Mar 2026
- 2025Privacy-Preserving Fair Synthetic Tabular Data4 Mar 2025
- 2024Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry3 Nov 2024
- 2024Towards more accurate and useful data anonymity vulnerability measures11 Mar 2024
- 2023Synthesizing Mixed-type Electronic Health Records using Diffusion Models28 Feb 2023