Citations: Practical data-swapping: The first steps

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S. Reiss "Practical Data Swapping: The First Steps," ACM TODS, 9, 1, pp. 20--37, 1984.

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Distortion Measures for - Categorical Data Swapping (Correct)

....to an actual data subject. Dalenius and Reiss [7] appear to have been the first to use the term data swapping. They present theoretical results indicating that, under various assumptions, it should be possible to preserve statistics defined on any specified dimension of the microdata. Reiss [16] presents a modified technique called approximate data swapping that simulates data from the joint distribution that one is interested in maintaining. However, this technique appears closer to synthetic data generation than to what is generally understood as data swapping. Zayatz et al. 20] ....

S. P. Reiss. Practical data-swapping: The first steps. ACM Trans. Database Systems, 9(1):20 37, 1984.

Hippocratic Databases - Agrawal, Kiernan, Srikant, Xu (2002) (12 citations) (Correct)

.... for possible compromises [8] suppression of data cells of small size [9] and clustering entities into mutually exclusive atomic populations [61] The perturbation family includes swapping values between records [12] replacing the original database by a sample from the same distribution [33] [42], adding noise to the values in the database [52] 57] adding noise to the results of a query [4] and sampling the result of a query [11] Hippocratic databases share with statistical databases the goal of preventing disclosure of private information, and hence some of the techniques developed ....

S. P. Reiss. Practical data-swapping: The first steps. 1984.

Auditing Boolean Attributes - Kleinberg, Papadimitriou, Raghavan (2000) (5 citations) (Correct)

....of the salary information This is the classical statistical database security problem, studied extensively since the 1970 s; see [1] for a survey. The main approaches to this problem involve perturbing the data so as to maintain their statistical characteristics but prevent their compromise [13, 11, 16], to perturb the responses for the same purpose, 2, 8] to restrict the size or overlap of the statistical queries [10, 9] or, finally (and closer to our concerns here) to audit the # Department of Computer Science, Cornell University, Ithaca NY 14853. Email: kleinber cs.cornell.edu. Supported ....

S. Reiss "Practical Data Swapping: The First Steps," ACM TODS, 9, 1, pp. 20--37, 1984.

Privacy-Preserving Data Mining - Agrawal, Srikant (2000) (98 citations) (Correct)

.... data cells of small size (e.g. Cox80] and clustering entities into mutually exclusive atomic populations (e.g. YC77] The perturbation family includes swapping values between records (e.g. Den82] replacing the original database by a sample from the same distribution (e.g. LST83] LCL85] Rei84] adding noise to the values in the database (e.g. TYW84] War65] adding noise to the results of a query (e.g. Bec80] and sampling the result of a query (e.g. Den80] There are negative results showing that the proposed techniques cannot satisfy the conflicting objectives of providing ....

Steven P. Reiss. Practical data-swapping: The first steps. ACM TODS, 9(1):20--37, 1984.

Auditing Boolean Attributes - Jon Kleinberg Christos (Correct)

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S. Reiss "Practical Data Swapping: The First Steps," ACM TODS, 9, 1, pp. 20--37, 1984.

Privacy-Preserving Alert Correlation: A Concept Hierarchy.. - Dingbang Xu And (2005) (1 citation) (Correct)

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S. Reiss. Practical data-swapping: The first steps. ACM Transactions on Database Systems, 9(1):20--37, March 1984.

Microdata Disclosure Risk in Database Privacy Protection - Crises (2004) (Correct)