Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Blind De-anonymization Attacks using Social Networks   It is important to study the risks of publishing privacy-sensitive data. Even
if sensitive identities (e.g., name, social security number) were removed and
advanced data perturbation techniques were applied, several de-anonymization
attacks have been proposed to re-identify individuals. However, existing
attacks have some limitations: 1) they are limited in de-anonymization
accuracy; 2) they require prior seed knowledge and suffer from the imprecision
of such seed information.
  We propose a novel structure-based de-anonymization attack, which does not
require the attacker to have prior information (e.g., seeds). Our attack is
based on two key insights: using multi-hop neighborhood information, and
optimizing the process of de-anonymization by exploiting enhanced machine
learning techniques. The experimental results demonstrate that our method is
robust to data perturbations and significantly outperforms the state-of-the-art
de-anonymization techniques by up to $10\times$ improvement.

20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph