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» LEGO for Two-Party Secure Computation
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GRC
2008
IEEE
13 years 8 months ago
Scalar-product based Secure Two-party Computation
—Secure multiparty computation is a very important research topic in cryptography. A secure multi-party computation involves N untrusful parties. It takes input xi from the ith p...
Chih-Hao Shen, Justin Zhan, Tsan-sheng Hsu, Churn-...
WPES
2003
ACM
14 years 25 days 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
13 years 2 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
14 years 1 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
IACR
2011
196views more  IACR 2011»
12 years 7 months ago
Multiparty Computation with Low Communication, Computation and Interaction via Threshold FHE
Fully homomorphic encryption (FHE) provides a simple template for secure computation between two parties (Alice and Bob) where: (I) Alice encrypts her input under her key, (II) Bo...
Gilad Asharov, Abhishek Jain, Daniel Wichs