BIDSA SEMINAR: Learning & Privacy in Online Search
| Room 2 E4 SR 03

| 23/04/2018 h.12.30
BIDSA SEMINAR: Learning & Privacy in Online Search

Douglas Leith , Trinity College Dublin

April 23, 2018

Bocconi University,  12:30pm

Via Rӧntgen n. 1, Rm 2 E4 SR 03



From buying books to finding the perfect partner, we share our wants and needs with our favourite online systems. But how far should we accept promises of privacy in the face of personal profiling? In particular we ask how can we improve detection of sensitive topic profiling by online search systems? We propose a definition of privacy disclosure we call {\epsilon}-indistinguishability from which we construct scalable, practical tools to assess an adversaries learning potential. We demonstrate our results using openly available resources, detecting a learning rate in excess of 98% for a range of sensitive topics during our experiments. Using these detection tools we also evaluate a range of possible approaches for disrupting learning.

Based on the following papers: