You Are What You Like! Information Leakage Through Users
Interests Abdelberi Chaabane, Gergely Acs, Mohamed Ali Kaafar INRIA
France NDSS 2012 Slide 2 Motivation Problem formulation &
Solution Evaluation Conclusion Slide 3 Motivation Slide 4 The
prevalently accessible data: public & private Slide 5 The
prevalently accessible data: availability of seemingly harmless
information Slide 6 Information leakage through user interests
(often public): Gender: ? Age: ? Gender: M Age: 28-35 Slide 7 Can
we automate this procedure? The seemingly harmless information +
semantic knowledge can leak private information Slide 8 Problem
formulation & Solution Slide 9 Input: 1) users with public
information and some like, 2) users with private information and
some like, 3) ontologized version of Wikipedia Output: inference on
people with private information Gender: ? Age: ? Gender: M Age:
28-35 Slide 10 A clue for the attacker: step 1: interest
description {AC/DC,Hard Rock,Heavy Metal, Australian Rock Band}
{Guns N' Roses,Hard Rock, Heavy Metal,California Singer, Guitarist}
{AC/DC,Hard Rock,Guitarist, Australian Singer} {Guns N' Roses,Hard
Rock ballads, Heavy Metal,} Description Slash Dont cry Back in
black Angus Young
