Integrating Differential Privacy in the Statistical Disclosure Control Tool-kit for Synthetic Data Production

Natalie Shlomo

doi:10.1007/978-3-030-57521-2

Integrating Differential Privacy in the Statistical Disclosure Control Tool-kit for Synthetic Data Production

Social Statistics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Privacy in Statistical Databases
Subtitle of host publication	UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings
Editors	J. Domingo-Ferrer , K. Muralidhar
Publisher	Springer Nature
Pages	271-280
Number of pages	10
ISBN (Electronic)	978-3-030-57521-2
DOIs	https://doi.org/10.1007/978-3-030-57521-2
Publication status	Published - 2020

Publication series

Name	Lecture Notes in Computer Science (LNCS, volume 12276)

Name	Information Systems and Applications, incl. Internet/Web, and HCI (LNISA, volume 12276)

Access to Document

10.1007/978-3-030-57521-2

Cite this

Shlomo, N. (2020). Integrating Differential Privacy in the Statistical Disclosure Control Tool-kit for Synthetic Data Production. In J. Domingo-Ferrer , & K. Muralidhar (Eds.), Privacy in Statistical Databases : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings (pp. 271-280). (Lecture Notes in Computer Science (LNCS, volume 12276)), (Information Systems and Applications, incl. Internet/Web, and HCI (LNISA, volume 12276)). Springer Nature. https://doi.org/10.1007/978-3-030-57521-2

Shlomo, Natalie. / Integrating Differential Privacy in the Statistical Disclosure Control Tool-kit for Synthetic Data Production. Privacy in Statistical Databases : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings. editor / J. Domingo-Ferrer ; K. Muralidhar. Springer Nature, 2020. pp. 271-280 (Lecture Notes in Computer Science (LNCS, volume 12276)). (Information Systems and Applications, incl. Internet/Web, and HCI (LNISA, volume 12276)).

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author = "Natalie Shlomo",

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Shlomo, N 2020, Integrating Differential Privacy in the Statistical Disclosure Control Tool-kit for Synthetic Data Production. in J Domingo-Ferrer & K Muralidhar (eds), Privacy in Statistical Databases : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings. Lecture Notes in Computer Science (LNCS, volume 12276), Information Systems and Applications, incl. Internet/Web, and HCI (LNISA, volume 12276), Springer Nature, pp. 271-280. https://doi.org/10.1007/978-3-030-57521-2

Integrating Differential Privacy in the Statistical Disclosure Control Tool-kit for Synthetic Data Production. / Shlomo, Natalie.
Privacy in Statistical Databases : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings. ed. / J. Domingo-Ferrer ; K. Muralidhar. Springer Nature, 2020. p. 271-280 (Lecture Notes in Computer Science (LNCS, volume 12276)), (Information Systems and Applications, incl. Internet/Web, and HCI (LNISA, volume 12276)).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Shlomo N. Integrating Differential Privacy in the Statistical Disclosure Control Tool-kit for Synthetic Data Production. In Domingo-Ferrer J, Muralidhar K, editors, Privacy in Statistical Databases : UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings. Springer Nature. 2020. p. 271-280. (Lecture Notes in Computer Science (LNCS, volume 12276)). (Information Systems and Applications, incl. Internet/Web, and HCI (LNISA, volume 12276)). doi: 10.1007/978-3-030-57521-2