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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