Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Differentially Private Hierarchical Count-of-Counts Histograms   We consider the problem of privately releasing a class of queries that we
call hierarchical count-of-counts histograms. Count-of-counts histograms
partition the rows of an input table into groups (e.g., group of people in the
same household), and for every integer j report the number of groups of size j.
Hierarchical count-of-counts queries report count-of-counts histograms at
different granularities as per hierarchy defined on an attribute in the input
data (e.g., geographical location of a household at the national, state and
county levels). In this paper, we introduce this problem, along with
appropriate error metrics and propose a differentially private solution that
generates count-of-counts histograms that are consistent across all levels of
the hierarchy.

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The categories of this paper are: hep-lat
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The categories of this paper are: hep-ph
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The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
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The categories of this paper are: solv-int
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The categories of this paper are: stat
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The categories of this paper are: mtrl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: econ
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The categories of this paper are: chem-ph
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The categories of this paper are: supr-con
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The categories of this paper are: astro-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: acc-phys
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The categories of this paper are: nlin