Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Capacity Bounded Differential Privacy   Differential privacy, a notion of algorithmic stability, is a gold standard
for measuring the additional risk an algorithm's output poses to the privacy of
a single record in the dataset. Differential privacy is defined as the distance
between the output distribution of an algorithm on neighboring datasets that
differ in one entry. In this work, we present a novel relaxation of
differential privacy, capacity bounded differential privacy, where the
adversary that distinguishes output distributions is assumed to be
capacity-bounded -- i.e. bounded not in computational power, but in terms of
the function class from which their attack algorithm is drawn. We model
adversaries in terms of restricted f-divergences between probability
distributions, and study properties of the definition and algorithms that
satisfy them.

6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat