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Summary:
We propose a novel approach that uses the Sparse Vector Technique (SVT) to judiciously control the amount of privacy budget available. Our approach brings two important advantages: a data analyst can obtain better accuracy compared to benchmarks for the same period of data release, or alternatively, the reporting period can be extended with a similar degree of accuracy, hence providing a broader time range insight. Extensive experiments on real data show that our proposed technique outperforms existing benchmarks.Author(s):
Fawaz Kserawi
Hamad Bin Khalifa University
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Gabriel Ghinita
Hamad Bin Khalifa University
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