Henecka, W.Bean, N.Roughan, M.Chim, T.W.Yuen, T.H.2014-12-162014-12-162012Lecture Notes in Artificial Intelligence, 2012 / Chim, T.W., Yuen, T.H. (ed./s), vol.7618 LNCS, pp.131-14197836423412810302-97431611-3349http://hdl.handle.net/2440/88151Secure 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.en© Springer-Verlag Berlin Heidelberg 2012Conference paper003000682710.1007/978-3-642-34129-8_122-s2.0-8486832823070869Bean, N. [0000-0002-5351-3104]Roughan, M. [0000-0002-7882-7329]