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ESORICS
2005
Springer
15 years 11 months ago
Quantifying Probabilistic Information Flow in Computational Reactive Systems
Information flow and non-interference are well-established techniques for expressing both integrity and privacy properties. Because of the enormous potential to transmit informati...
Michael Backes
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 7 months ago
OptRR: Optimizing Randomized Response Schemes for Privacy-Preserving Data Mining
The randomized response (RR) technique is a promising technique to disguise private categorical data in Privacy-Preserving Data Mining (PPDM). Although a number of RR-based methods...
Zhengli Huang, Wenliang Du
SIGMOD
2009
ACM
185views Database» more  SIGMOD 2009»
16 years 6 months ago
Attacks on privacy and deFinetti's theorem
In this paper we present a method for reasoning about privacy using the concepts of exchangeability and deFinetti's theorem. We illustrate the usefulness of this technique by...
Daniel Kifer
SIGMOD
2007
ACM
156views Database» more  SIGMOD 2007»
16 years 6 months ago
M-invariance: towards privacy preserving re-publication of dynamic datasets
The previous literature of privacy preserving data publication has focused on performing "one-time" releases. Specifically, none of the existing solutions supports re-pu...
Xiaokui Xiao, Yufei Tao
SDM
2009
SIAM
331views Data Mining» more  SDM 2009»
16 years 3 months ago
Privacy Preservation in Social Networks with Sensitive Edge Weights.
With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of con...
Jie Wang, Jinze Liu, Jun Zhang, Lian Liu