Table servers protect confidentiality in tabular data releases
Communications of the ACM
Software systems for tabular data releases
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Preserving confidentiality of high-dimensional tabulated data: Statistical and computational issues
Statistics and Computing
Privacy preserving regression modelling via distributed computation
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
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The high-level goal of the research is to develop abstractions, theory and methodology and software tools that allow federal statistical agencies to disseminate useful information derived from confidential data but protect the privacy of data subjects---individuals and establishments.