Computer Science > Information Theory
arXiv:2206.06650 (cs)
[Submitted on 14 Jun 2022 (v1), last revised 11 Apr 2023 (this version, v3)]
Title:Semi-Private Computation of Data Similarity with Applications to Data Valuation and Pricing
View a PDF of the paper titled Semi-Private Computation of Data Similarity with Applications to Data Valuation and Pricing, by Ren\'e B{\o}dker Christensen and 2 other authors
View PDFAbstract:Consider two data providers that want to contribute data to a certain learning model. Recent works have shown that the value of the data of one of the providers is dependent on the similarity with the data owned by the other provider. It would thus be beneficial if the two providers can calculate the similarity of their data, while keeping the actual data private. In this work, we devise multiparty computation-protocols to compute similarity of two data sets based on correlation, while offering controllable privacy guarantees. We consider a simple model with two participating providers and develop methods to compute exact and approximate correlation, respectively, with controlled information leakage. Both protocols have computational and communication complexities that are linear in the number of data samples. We also provide general bounds on the maximal error in the approximation case, and analyse the resulting errors for practical parameter choices.
| Comments: | 11 pages |
| Subjects: | Information Theory (cs.IT); Cryptography and Security (cs.CR) |
| MSC classes: | 94A60, 68P27 |
| Cite as: | arXiv:2206.06650 [cs.IT] |
| (orarXiv:2206.06650v3 [cs.IT] for this version) | |
| https://doi.org/10.48550/arXiv.2206.06650 arXiv-issued DOI via DataCite | |
| Journal reference: | IEEE Transactions on Information Forensics and Security (2023). Vol 18, pp. 1978-1988 |
| Related DOI: | https://doi.org/10.1109/TIFS.2023.3259879 DOI(s) linking to related resources |
Submission history
From: René Bødker Christensen [view email][v1] Tue, 14 Jun 2022 07:32:02 UTC (127 KB)
[v2] Thu, 22 Sep 2022 07:06:56 UTC (131 KB)
[v3] Tue, 11 Apr 2023 07:00:43 UTC (135 KB)
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View a PDF of the paper titled Semi-Private Computation of Data Similarity with Applications to Data Valuation and Pricing, by Ren\'e B{\o}dker Christensen and 2 other authors
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