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» Privacy Skyline: Privacy with Multidimensional Adversarial K...
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VLDB
2007
ACM
96views Database» more  VLDB 2007»
13 years 10 months ago
Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge
Privacy is an important issue in data publishing. Many organizations distribute non-aggregate personal data for research, and they must take steps to ensure that an adversary cann...
Bee-Chung Chen, Raghu Ramakrishnan, Kristen LeFevr...
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
15 years 4 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
ICDE
2010
IEEE
235views Database» more  ICDE 2010»
14 years 4 months ago
Privacy in Data Publishing
Privacy in data publishing has received much attention recently. The key to defining privacy is to model knowledge of the attacker ? if the attacker is assumed to know too little,...
Johannes Gehrke, Daniel Kifer, Ashwin Machanavajjh...
SIGMOD
2012
ACM
278views Database» more  SIGMOD 2012»
11 years 7 months ago
Differential privacy in data publication and analysis
Data privacy has been an important research topic in the security, theory and database communities in the last few decades. However, many existing studies have restrictive assumpt...
Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne W...
ICDCS
2007
IEEE
13 years 10 months ago
Temporal Privacy in Wireless Sensor Networks
Although the content of sensor messages describing “events of interest” may be encrypted to provide confidentiality, the context surrounding these events may also be sensitiv...
Pandurang Kamat, Wenyuan Xu, Wade Trappe, Yanyong ...