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ICDE
2006
IEEE
144views Database» more  ICDE 2006»
15 years 4 months ago
PRIVATE-IYE: A Framework for Privacy Preserving Data Integration
Data integration has been a long standing challenge to the database and data mining communities. This need has become critical in numerous contexts, including building e-commerce ...
Sourav S. Bhowmick, Le Gruenwald, Mizuho Iwaihara,...
KDD
2007
ACM
121views Data Mining» more  KDD 2007»
15 years 10 months ago
Preserving the Privacy of Sensitive Relationships in Graph Data
Abstract. In this paper, we focus on the problem of preserving the privacy of sensitive relationships in graph data. We refer to the problem of inferring sensitive relationships fr...
Elena Zheleva, Lise Getoor
KDD
2008
ACM
162views Data Mining» more  KDD 2008»
15 years 10 months ago
Composition attacks and auxiliary information in data privacy
Privacy is an increasingly important aspect of data publishing. Reasoning about privacy, however, is fraught with pitfalls. One of the most significant is the auxiliary informatio...
Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanat...
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
15 years 4 months ago
Fine-Grain Perturbation for Privacy Preserving Data Publishing
— Recent work [12] shows that conventional privacy preserving publishing techniques based on anonymity-groups are susceptible to corruption attacks. In a corruption attack, if th...
Rhonda Chaytor, Ke Wang, Patricia Brantingham
ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
14 years 7 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