TY - GEN
T1 - On syntactic anonymity and differential privacy
AU - Clifton, Chris
AU - Tassa, Tamir
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Recently, there has been a growing debate over approaches for handling and analyzing private data. Research has identified issues with syntactic anonymity models. Differential privacy has been promoted as the answer to privacy-preserving data mining. We discuss here issues involved and criticisms of both approaches, and conclude that both have their place. We identify research directions that will enable greater access to data while improving privacy guarantees.
AB - Recently, there has been a growing debate over approaches for handling and analyzing private data. Research has identified issues with syntactic anonymity models. Differential privacy has been promoted as the answer to privacy-preserving data mining. We discuss here issues involved and criticisms of both approaches, and conclude that both have their place. We identify research directions that will enable greater access to data while improving privacy guarantees.
UR - http://www.scopus.com/inward/record.url?scp=84881451720&partnerID=8YFLogxK
U2 - 10.1109/ICDEW.2013.6547433
DO - 10.1109/ICDEW.2013.6547433
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AN - SCOPUS:84881451720
SN - 9781467353021
T3 - Proceedings - International Conference on Data Engineering
SP - 88
EP - 93
BT - 2013 IEEE 29th International Conference on Data Engineering Workshops, ICDEW 2013
T2 - 2013 IEEE 29th International Conference on Data Engineering Workshops, ICDEW 2013
Y2 - 8 April 2013 through 11 April 2013
ER -