Students and Taxes: a Privacy-Preserving Study Using Secure Computation
We describe the use of secure multi-party computation for performing a large-scale privacy-preserving statistical study on real government data. In 2015, statisticians from the Estonian Center of Applied Research (CentAR) conducted a big data study to look for correlations between working during uni...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2016-07-01
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| Series: | Proceedings on Privacy Enhancing Technologies |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/popets-2016-0019 |