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» Deriving Private Information from Randomized Data
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FC
2005
Springer
87views Cryptology» more  FC 2005»
15 years 3 months ago
Protecting Secret Data from Insider Attacks
We consider defenses against confidentiality and integrity attacks on data following break-ins, or so-called intrusion resistant storage technologies. We investigate the problem o...
David Dagon, Wenke Lee, Richard J. Lipton
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
15 years 10 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...
ICDE
2009
IEEE
154views Database» more  ICDE 2009»
15 years 11 months ago
A General Proximity Privacy Principle
Recent years have witnessed ever-increasing concerns about individual privacy in numerous data dissemination applications that involve private personal information, e.g., medical...
Ting Wang, Shicong Meng, Bhuvan Bamba, Ling Liu, C...
MOC
2010
14 years 4 months ago
H(div) preconditioning for a mixed finite element formulation of the diffusion problem with random data
We study H(div) preconditioning for the saddle-point systems that arise in a stochastic Galerkin mixed formulation of the steady-state diffusion problem with random data. The key i...
Howard C. Elman, Darran G. Furnival, Catherine E. ...
CCS
2006
ACM
15 years 1 months ago
Secure information flow with random assignment and encryption
Type systems for secure information flow aim to prevent a program from leaking information from variables classified as H to variables classified as L. In this work we extend such...
Geoffrey Smith