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VLDB
2007
ACM
138views Database» more  VLDB 2007»
15 years 5 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...
88
Voted
INFOCOM
2010
IEEE
14 years 9 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
15 years 11 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»
14 years 11 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
98
Voted
PET
2010
Springer
15 years 3 months ago
Collaborative, Privacy-Preserving Data Aggregation at Scale
Combining and analyzing data collected at multiple locations is critical for a wide variety of applications, such as detecting and diagnosing malicious attacks or computing an acc...
Benny Applebaum, Haakon Ringberg, Michael J. Freed...