The rapidly growing demand to share data more openly creates a need for secure and privacy-preserving sharing technologies. However, there are multiple challenges associated with the development of a universal privacy-preserving data sharing mechanism, and existing solutions still fall short of their promises.
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Acknowledgements
This work was partially funded by the Swiss National Science Foundation with grant 200021-188824 (T.S.).
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C.T. wrote the paper; T.S. wrote the paper and contributed to the analysis of synthetic data privacy properties.
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Nature Computational Science thanks the anonymous reviewers for their contribution to the peer review of this work.
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Stadler, T., Troncoso, C. Why the search for a privacy-preserving data sharing mechanism is failing. Nat Comput Sci 2, 208–210 (2022). https://doi.org/10.1038/s43588-022-00236-x
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DOI: https://doi.org/10.1038/s43588-022-00236-x
