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Bibliographic Details
Main Authors:	Culnane, Chris, Rubinstein, A/Benjamin I. P., Teague, A/Vanessa
Format:	Preprint
Published:	2019
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/1908.05004
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Table of Contents:

The subject of this report is the re-identification of individuals in the Myki public transport dataset released as part of the Melbourne Datathon 2018. We demonstrate the ease with which we were able to re-identify ourselves, our co-travellers, and complete strangers; our analysis raises concerns about the nature and granularity of the data released, in particular the ability to identify vulnerable or sensitive groups.