Asymptotic Utility of Spectral Anonymization

Author:

Perkonoja KatariinaORCID,Virta JoniORCID

Publisher

Springer Nature Switzerland

Reference20 articles.

1. Awan, J., Kenney, A., Reimherr, M., Slavković, A.: Benefits and pitfalls of the exponential mechanism with applications to Hilbert spaces and functional PCA. In: Proceedings of the 36th International Conference on Machine Learning, vol. 97, pp. 374—384. PMLR (2019)

2. Bishop, Y.M., Fienberg, S.E., Holland, P.W.: Discrete Multivariate Analysis: Theory and Practice. Springer, New York (2007)

3. Calviño, A., Aldeguer, P., Domingo-Ferrer, J.: Factor analysis for anonymization. In: 2017 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 984–991 (2017)

4. Domingo-Ferrer, J., Torra, V.: Disclosure risk assessment in statistical data protection. J. Comput. Appl. Math. 164–165, 285–293 (2004)

5. Dunsche, M., Kutta, T., Dette, H.: Multivariate mean comparison under differential privacy. In: Domingo-Ferrer, J., Laurent, M. (eds.) PSD 2022. LNCS, vol. 13463, pp. 31–45. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-13945-1_3

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