References
- Dalenius, T. (1977). Towards a methodology for statistical disclosure control. Statistik Tidskrift, 15, 429-444.
- Dalenius, T. (1986). Finding a needle in a haystack or identifying anonymous census record. Journal of Official Statistics, 2, 329-336.
- Dalenius, T. and Reiss, S.P. (1978). Data-swapping: A technique for disclosure control. Preceedings of the Section on Survey Research Methods, American Statistical Association, Washington DC, USA, 191-194.
- Dalenius, T. and Reiss, S.P. (1982). Data-swapping: A technique for disclosure control. Journal of Statistical Planning and Inference, 6, 73-85. https://doi.org/10.1016/0378-3758(82)90058-1
- Duncan, G. and Lambert, D. (1989). The risk of disclosure for microdata. Journal of Business and Economic Statistics, 7, 207-217.
- Duncan, G. T., Elliot, M. and Slazar-Gonzalez, J. (2011). Statistical confidentiality principles and practice statistics for social and behavioral sciences, Springer, New York, NY, USA.
- Dwork, C. (2006). Differential privacy. In 33rd International Colloquium on Automata, Languages and Programming, Part II (ICALP 2006), Springer, Venice, Italy, 1-12.
- Fienberg, S. E. and McIntyre, J. (2004). Data swapping: Variations on a theme by Dalenius and Reiss. In PSD 2004, Lecture Notes on Computer Science, edited by J. Domingo-Ferrer and V. Torra, Springer, New York, NY, USA, 14-29.
- Gomatam, S., Karr, A. F., Reiter, J. P.and Sanil, A. P. (2008). Data dissemination and disclosure limitation in a world without microdata: A risk-utility framework for remote access analysis servers. Statistical Science, 20, 163-177.
- Li, N., Li, T. and Venkatasubramanian, S. (2007). t-closeness: Privacy beyond k-anonymity and l-diversity. In ICDE 2007, IEEE 23rd International Conference on Data Engineering, 106-115.
- Machanavajjhala, A., Kifer, D., Gehrke, J. and Venkitasubramaniam, M. (2007). L-diversity: Privacy beyond k-anonymity. ACM Transactions on Knowledge Discovery from Data, 1, 3-20. https://doi.org/10.1145/1217299.1217302
- Marsh, C., Skinner, C., Arber, S., Penhale, B., Openshaw, S., Hobcraft, J., Lievesley, D., Walford, N. (1991). The case for samples of anonymized records from the 1991 census. Journal of the Royal Statistical Society A, 154, 305-340. https://doi.org/10.2307/2983043
- Matthews. G. J. and Harel, O. (2011). Data confidentiality: A review of methods for statistical disclosure limitation and methods for assessing privacy. Statistics Surveys, 5, 1-29. https://doi.org/10.1214/11-SS074
- Narayanan, A. and Shmatikov, V. (2007). How to break anonymity of the Netflix Prize dataset, preprint in http://arxiv.org/.
- Nissim, K., Raskhodnikova, S. and Smith, A. (2007). Smooth sensitivity and sampling in private data analysis. In STOC 07, Proceedings of the thirty-ninth annual ACM symposium on Theory of computing, ACM, New York, NY, USA, 75-84.
- Paass, G. (1988). Disclosure risk and disclosure avoidance for microdata. Journal of Business and Economic Statistics, 6, 487-500.
- Reiss, S. P. (1984). Practical data-swapping: The first step. ACM Transactions on database systems, 9, 20-37. https://doi.org/10.1145/348.349
- Reiter, J.P. (2005). Estimating risks of identification disclosure in microdata. Journal of the American Statistical Association, 100, 1103-1112. https://doi.org/10.1198/016214505000000619
- Skinner, C. J., Marsh, C., Openshaw, S. and Wymer, C. (1994). Disclosure control for census microdata. Journal of Official Statistics, 10, 31-51.
- Skinner, C. J. and Elliot, M.J. (2002). A measure of disclosure risk for microdata. Journal of the Royal Statistical Society B, 64, 855-867. https://doi.org/10.1111/1467-9868.00365
- Skinner, C. and Shlomo, N. (2008). Assessing identification risk in survey micro-data using log-linear models. Journal of the American Statistical Association, 103, 989-1001. https://doi.org/10.1198/016214507000001328
- Sweeney, L. (2002). k-anonymity: A model for protecting privacy. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, 10, 557-570. https://doi.org/10.1142/S0218488502001648
Cited by
- Statistical disclosure control for public microdata: present and future vol.29, pp.6, 2016, https://doi.org/10.5351/KJAS.2016.29.6.1041