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» From Data Privacy to Location Privacy: Models and Algorithms
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ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
15 years 3 months ago
A Privacy Preserving Framework for Gaussian Mixture Models
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
Madhusudana Shashanka
SDM
2007
SIAM
118views Data Mining» more  SDM 2007»
15 years 7 months ago
On Privacy-Preservation of Text and Sparse Binary Data with Sketches
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
Charu C. Aggarwal, Philip S. Yu
TKDE
2010
164views more  TKDE 2010»
15 years 4 months ago
PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects
—Efficiency and privacy are two fundamental issues in moving object monitoring. This paper proposes a privacy-aware monitoring (PAM) framework that addresses both issues. The fra...
Haibo Hu, Jianliang Xu, Dik Lun Lee
PSD
2004
Springer
186views Database» more  PSD 2004»
15 years 11 months ago
Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type
In an on-line statistical database, the query-answering system should prevent answers to statistical queries from leading to disclosure of confidential data. On the other hand, a s...
Francesco M. Malvestuto, Mauro Mezzini
PERCOM
2009
ACM
16 years 23 days ago
Towards Privacy-Sensitive Participatory Sensing
—The ubiquity of mobile devices has brought forth the concept of participatory sensing, whereby ordinary citizens can now contribute and share information from the urban environm...
Kuan Lun Huang, Salil S. Kanhere, Wen Hu