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ISI
2008
Springer
14 years 11 months ago
A framework for privacy-preserving cluster analysis
Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
16 years 11 months ago
Modeling and Integrating Background Knowledge in Data Anonymization
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult for the d...
Tiancheng Li, Ninghui Li, Jian Zhang
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
14 years 9 months ago
Probabilistic Inference Protection on Anonymized Data
Background knowledge is an important factor in privacy preserving data publishing. Probabilistic distributionbased background knowledge is a powerful kind of background knowledge w...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Y...
ICDT
2007
ACM
148views Database» more  ICDT 2007»
15 years 6 months ago
Ask a Better Question, Get a Better Answer A New Approach to Private Data Analysis
Cryptographic techniques for reasoning about information leakage have recently been brought to bear on the classical problem of statistical disclosure control – revealing accurat...
Cynthia Dwork
CSFW
2000
IEEE
15 years 4 months ago
Reasoning about Secrecy for Active Networks
In this paper we develop a language of mobile agents called uPLAN for describing the capabilities of active (programmable) networks. We use a formal semantics for uPLAN to demonst...
Pankaj Kakkar, Carl A. Gunter, Martín Abadi