EAN: 9783319620022

DIFFERENTIAL PRIVACY AND APPLICATIONS - TIANQIN...

This book focuses on differential privacy and its application with an emphasis on technical and
application aspects. This book also presents the most recent research on differential privacy
with a theory perspective. It provides an approachable strategy for researchers and engineers
to implement differential privacy in real world applications. Early chapters are focused on two
major directions  differentially private data publishing and differentially private data
analysis. Data publishing focuses on how to modify the original dataset or the queries with the
guarantee of differential privacy. Privacy data analysis concentrates on how to modify the data
analysis algorithm to satisfy differential privacy  while retaining a high mining accuracy. The
authors also introduce several applications in real world applications  including recommender
systems and location privacy Advanced level students in computer science and engineering  as
well as researchers and professionals working in privacy preserving  data mining  machine
learning and data analysis will find this book useful as a reference. Engineers in database 
network security  social networks and web services will also find this book useful.

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