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» On the Power of Secure Two-Party Computation
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WPES
2003
ACM
15 years 2 months ago
Leveraging the "Multi" in secure multi-party computation
Secure Multi-Party Computation enables parties with private data to collaboratively compute a global function of their private data, without revealing that data. The increase in s...
Jaideep Vaidya, Chris Clifton
NCA
2011
IEEE
14 years 4 months ago
Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
Ankur Bansal, Tingting Chen, Sheng Zhong
ISI
2005
Springer
15 years 3 months ago
Private Mining of Association Rules
This paper introduces a new approach to a problem of data sharing among multiple parties, without disclosing the data between the parties. Our focus is data sharing among two parti...
Justin Z. Zhan, Stan Matwin, LiWu Chang
ACNS
2009
Springer
162views Cryptology» more  ACNS 2009»
15 years 4 months ago
Secure Hamming Distance Based Computation and Its Applications
Abstract. This paper examines secure two-party computation of functions which depend only on the Hamming distance of the inputs of the two parties. We present efficient protocols f...
Ayman Jarrous, Benny Pinkas
NOSSDAV
2009
Springer
15 years 2 months ago
Secure multimedia content delivery with multiparty multilevel DRM architecture
For scalability of business, multiparty multilevel digital rights management (DRM) architecture, where a multimedia content is delivered by an owner to a consumer through several ...
Tony Thomas, Sabu Emmanuel, Amitabha Das, Mohan S....