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ICDE
2007
IEEE
198views Database» more  ICDE 2007»
16 years 1 months ago
Worst-Case Background Knowledge for Privacy-Preserving Data Publishing
Recent work has shown the necessity of considering an attacker's background knowledge when reasoning about privacy in data publishing. However, in practice, the data publishe...
David J. Martin, Daniel Kifer, Ashwin Machanavajjh...
DEXAW
2006
IEEE
123views Database» more  DEXAW 2006»
15 years 3 months ago
Privacy, Security and Trust in P2P environments: A Perspective
The Peer-to-Peer (P2P) paradigm of computing has been growing dramatically in popularity over the last decade. Consequently, large amounts of data are being shared among P2P users...
Anirban Mondal, Masaru Kitsuregawa
CIDR
2007
79views Algorithms» more  CIDR 2007»
15 years 1 months ago
Beyond Just Data Privacy
We argue that designing a system that “guarantees” the privacy of its information may not be enough. One must also consider the price for providing that protection: For exampl...
Bob Mungamuru, Hector Garcia-Molina
SIGMOD
2007
ACM
156views Database» more  SIGMOD 2007»
15 years 12 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
VLDB
2007
ACM
108views Database» more  VLDB 2007»
16 years 1 days ago
Time Series Compressibility and Privacy
In this paper we study the trade-offs between time series compressibility and partial information hiding and their fundamental implications on how we should introduce uncertainty ...
Spiros Papadimitriou, Feifei Li, George Kollios, P...