By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Investigators publish new report on Database Management. According to news reporting originating from Urbana, Illinois, by VerticalNews correspondents, research stated, "Differential privacy (DP) is a promising scheme for releasing the results of statistical queries on sensitive data, with strong privacy guarantees against adversaries with arbitrary background knowledge. Existing studies on differential privacy mostly focus on simple aggregations such as counts."
Our news editors obtained a quote from the research from the University of Illinois, "This paper investigates the publication of DP-compliant histograms, which is an important analytical tool for showing the distribution of a random variable, e.g., hospital bill size for certain patients. Compared to simple aggregations whose results are purely numerical, a histogram query is inherently more complex, since it must also determine its structure, i.e., the ranges of the bins. As we demonstrate in the paper, a DP-compliant histogram with finer bins may actually lead to significantly lower accuracy than a coarser one, since the former requires stronger perturbations in order to satisfy DP. Moreover, the histogram structure itself may reveal sensitive information, which further complicates the problem. Motivated by this, we propose two novel mechanisms, namely NoiseFirst and StructureFirst, for computing DP-compliant histograms. Their main difference lies in the relative order of the noise injection and the histogram structure computation steps. NoiseFirst has the additional benefit that it can improve the accuracy of an already published DP-compliant histogram computed using a naive method. For each of proposed mechanisms, we design algorithms for computing the optimal histogram structure with two different objectives: minimizing the mean square error and the mean absolute error, respectively. Going one step further, we extend both mechanisms to answer arbitrary range queries."
According to the news editors, the research concluded: "Extensive experiments, using several real datasets, confirm that our two proposals output highly accurate query answers and consistently outperform existing competitors."
For more information on this research see: Differentially private histogram publication. VLDB Journal, 2013;22(6):797-822. VLDB Journal can be contacted at: Springer, 233 Spring St, New York, NY 10013, USA. (Springer - www.springer.com; VLDB Journal - www.springerlink.com/content/1066-8888/)
The news editors report that additional information may be obtained by contacting J. Xu, University of Illinois, Dept. of Comp Sci, Urbana, IL, United States. Additional authors for this research include Z.J. Zhang, X.K. Xiao, Y. Yang, G. Yu and M. Winslett.
Keywords for this news article include: Urbana, Illinois, United States, Database Management, North and Central America
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