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SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
15 years 5 months ago
Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from ...
Shuguo Han, Wee Keong Ng
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
16 years 1 months ago
Speeding Up Secure Computations via Embedded Caching.
Most existing work on Privacy-Preserving Data Mining (PPDM) focus on enabling conventional data mining algorithms with the ability to run in a secure manner in a multi-party setti...
K. Zhai, W. K. Ng, A. R. Herianto, S. Han
STOC
2004
ACM
117views Algorithms» more  STOC 2004»
16 years 4 months ago
New notions of security: achieving universal composability without trusted setup
We propose a modification to the framework of Universally Composable (UC) security [3]. Our new notion, involves comparing the protocol executions with an ideal execution involvin...
Manoj Prabhakaran, Amit Sahai
JOC
2007
84views more  JOC 2007»
15 years 4 months ago
Concurrent Composition of Secure Protocols in the Timing Model
In the setting of secure multiparty computation, a set of mutually distrustful parties wish to securely compute some joint function of their inputs. In the stand-alone case, it ha...
Yael Tauman Kalai, Yehuda Lindell, Manoj Prabhakar...
ICFEM
2005
Springer
15 years 10 months ago
A Compositional Framework for Service Interaction Patterns and Interaction Flows
We provide precise high-level models for eight fundamental service interaction patterns, together with schemes for their composition into complex service-based business process int...
Alistair P. Barros, Egon Börger