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» Privacy-Preserving Data Imputation
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FOCS
2010
IEEE
13 years 5 months ago
A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
Abstract--We consider statistical data analysis in the interactive setting. In this setting a trusted curator maintains a database of sensitive information about individual partici...
Moritz Hardt, Guy N. Rothblum
VLDB
2007
ACM
138views Database» more  VLDB 2007»
14 years 1 months ago
Minimality Attack in Privacy Preserving Data Publishing
Data publishing generates much concern over the protection of individual privacy. In the well-known kanonymity model and the related models such as l-diversity and (α, k)-anonymi...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, J...
INFOCOM
2010
IEEE
13 years 5 months ago
PriSense: Privacy-Preserving Data Aggregation in People-Centric Urban Sensing Systems
People-centric urban sensing is a new paradigm gaining popularity. A main obstacle to its widespread deployment and adoption are the privacy concerns of participating individuals. ...
Jing Shi, Rui Zhang, Yunzhong Liu, Yanchao Zhang
PERCOM
2008
ACM
14 years 7 months ago
Composition and Generalization of Context Data for Privacy Preservation
This paper presents preliminary results on anonymization and obfuscation techniques to preserve users' privacy in context-aware service provisioning. The techniques are based...
Linda Pareschi, Daniele Riboni, Alessandra Agostin...
SIGMOD
2010
ACM
243views Database» more  SIGMOD 2010»
13 years 7 months ago
Non-homogeneous generalization in privacy preserving data publishing
Most previous research on privacy-preserving data publishing, based on the k-anonymity model, has followed the simplistic approach of homogeneously giving the same generalized val...
Wai Kit Wong, Nikos Mamoulis, David Wai-Lok Cheung