Fetching the paper…
Reading the bibliography…
Synthetic data has gained significant momentum thanks to sophisticated machine learning tools that enable the synthesis of high-dimensional datasets.
Journal of Official Statistics
Rubin, D. B. (1993) Statistical disclosure limitation · 1993
Earlier work this paper cites.
Machine learning
Breima, L. (2001) Random forests · 2001
Earlier work this paper cites.
In Theory of cryptography conference
Dwork, C., McSherry, F., Nissim, K. and Smith, A. (2006) Calibrating noise to sensitivity in private data analysis · 2006
Earlier work this paper cites.
UCLA Law Rev
Ohm, P. (2009) Broken promises of privacy: Responding to the surprising failure of anonymization · 2009
Earlier work this paper cites.
PloS one
Jeong, B., Lee, W., Kim, D.-S. and Shin, H. (2016) Copula-based approach to synthetic population generation · 2016
Earlier work this paper cites.
Journal of statistical software
Nowok, B., Raab, G. M. and Dibben, C. (2016) synthpop: Bespoke creation of synthetic data in R · 2016
Cited alongside, same era.
ACM TODS
Zhang, J., Cormode, G., Procopiuc, C. M., Srivastava, D. and Xiao, X. (2017) Privbayes: Private data release via bayesian networks · 2017
Cited alongside, same era.
In Proceedings of the conference on fairness, accountability, and transparency
Mitchell, M., Wu, S., Zaldivar, A., Barnes, P., Vasserman, L., Hutchinson, B., Spitzer, E., Raji, I. D. and Gebru, T. (2019) Model cards for model reporting · 2019
Cited alongside, same era.
Journal of Privacy and Confidentiality
McKenna, R., Miklau, G. and Sheldon, D. (2021) Winning the NIST contest: A scalable and general approach to differentially private synthetic data · 2021
Cited alongside, same era.
Jordon, J., Szpruch, L., Houssiau, F., Bottarelli, M., Cherubin, G., Maple, C., Cohen, S. N. and Weller, A. (2022) Synthetic data–what, why and how? · 2022
Closest in time.
https://www.ons.gov.uk/file?uri=/census/2011census/2011censusdata/censusmicrodata/microdatateachingfile/possibilitiesforexploringthedata/possibilitiesforexploringthedata_tcm77-353421.pdf
ONS (2014) England and Wales 2011 census microdata teaching file – Possibilities for exploring the data · 2022
Closest in time.
https://www.ons.gov.uk/census/2011census/2011censusdata/censusmicrodata/microdatateachingfile
— (2016) England and Wales 2011 census microdata teaching file · 2022
Closest in time.
Stadler, T., Oprisanu, B. and Troncoso, C. (2022) Synthetic data–anonymisation groundhog day
2022
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…