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ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
13 years 6 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
AAAI
2011
12 years 8 months ago
User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models
With smart-phones becoming increasingly commonplace, there has been a subsequent surge in applications that continuously track the location of users. However, serious privacy conc...
Justin Cranshaw, Jonathan Mugan, Norman M. Sadeh
ICDE
2008
IEEE
114views Database» more  ICDE 2008»
14 years 10 months ago
On Unifying Privacy and Uncertain Data Models
The problem of privacy-preserving data mining has been studied extensively in recent years because of the increased amount of personal information which is available to corporation...
Charu C. Aggarwal
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 9 months ago
Privacy-Preserving Data Mining through Knowledge Model Sharing
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
SP
1998
IEEE
162views Security Privacy» more  SP 1998»
14 years 26 days ago
Complete, Safe Information Flow with Decentralized Labels
The growing use of mobile code in downloaded applications and servlets has increased interest in robust mechanisms for ensuring privacy and secrecy. Information flow control is in...
Andrew C. Myers, Barbara Liskov