Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Vulnerability Analysis for Data Driven Pricing Schemes   Data analytics and machine learning techniques are being rapidly adopted into
the power system, including power system control as well as electricity market
design. In this paper, from an adversarial machine learning point of view, we
examine the vulnerability of data-driven electricity market design. More
precisely, we follow the idea that consumer's load profile should uniquely
determine its electricity rate, which yields a clustering oriented pricing
scheme. We first identify the strategic behaviors of malicious users by
defining a notion of disguising. Based on this notion, we characterize the
sensitivity zones to evaluate the percentage of malicious users in each
cluster. Based on a thorough cost benefit analysis, we conclude with the
vulnerability analysis.

15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg