Fairplay—a secure two-party computation system
SSYM'04 Proceedings of the 13th conference on USENIX Security Symposium - Volume 13
Protocols for secure computations
SFCS '82 Proceedings of the 23rd Annual Symposium on Foundations of Computer Science
How to generate and exchange secrets
SFCS '86 Proceedings of the 27th Annual Symposium on Foundations of Computer Science
An Efficient Protocol for Secure Two-Party Computation in the Presence of Malicious Adversaries
EUROCRYPT '07 Proceedings of the 26th annual international conference on Advances in Cryptology
Improved Garbled Circuit: Free XOR Gates and Applications
ICALP '08 Proceedings of the 35th international colloquium on Automata, Languages and Programming, Part II
On the implementation of the discrete Fourier transform in the encrypted domain
IEEE Transactions on Information Forensics and Security
Improved Garbled Circuit Building Blocks and Applications to Auctions and Computing Minima
CANS '09 Proceedings of the 8th International Conference on Cryptology and Network Security
Secure Two-Party Computation Is Practical
ASIACRYPT '09 Proceedings of the 15th International Conference on the Theory and Application of Cryptology and Information Security: Advances in Cryptology
Cryptocomputing with rationals
FC'02 Proceedings of the 6th international conference on Financial cryptography
TASTY: tool for automating secure two-party computations
Proceedings of the 17th ACM conference on Computer and communications security
Faster secure two-party computation using garbled circuits
SEC'11 Proceedings of the 20th USENIX conference on Security
Secure computation with fixed-point numbers
FC'10 Proceedings of the 14th international conference on Financial Cryptography and Data Security
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Secure Multiparty Computation (SMC) enables untrusting parties to jointly compute a function on their respective inputs without revealing any information but the outcome. Almost all techniques for SMC support only integer inputs and operations. We present a secure scaling protocol for two parties to map real number inputs into integers without revealing any information about their respective inputs. The main component is a novel algorithm for privacy-preserving random number generation. We also show how to implement the protocol using Yao's garbled circuit technique.