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Why the search for a privacy-preserving data sharing mechanism is failing

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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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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Correspondence to Carmela Troncoso.

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The authors declare no competing interests.

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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).

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