International Association for Cryptologic Research

International Association
for Cryptologic Research

CryptoDB

Joan Feigenbaum

Publications

Year
Venue
Title
2001
EPRINT
Secure Multiparty Computation of Approximations
Approximation algorithms can sometimes be used to obtain efficient solutions where no efficient exact computation is known. In particular, approximations are often useful in a distributed setting where the inputs are held by different parties and are extremely large. Furthermore, for some applications, the parties want to cooperate to compute a function of their inputs without revealing more information than they have to. Suppose the function $\fhat$ is an approximation to the function $f$. Secure multiparty computation of $f$ allows the parties to compute $f$ without revealing more than they have to, but it requires some additional overhead in computation and communication. Hence, if computation of $f$ is inefficient or just efficient enough to be practical, then secure computation of $f$ may be impractically expensive. Furthermore, a secure computation of $\fhat$ is not necessarily as private as a secure computation of $f$, because the output of $\fhat$ may reveal more information than the output of $f$. In this paper, we present definitions and protocols of secure multiparty approximate computation that show how to realize most of the cost savings available by using $\fhat$ instead of $f$ without losing the privacy of a secure computation of $f$. We make three contributions. First, we give formal definitions of secure multiparty approximate computations. Second, we present an efficient, sublinear-communication, private approximate computation for the Hamming distance; we also give an efficient, polylogarithmic-communication solution for the $L^{2}$ distance in a relaxed model. Finally, we give an efficient private approximation of the permanent and other related \#P-hard problems.
2000
EPRINT
Secure Multiparty Computation of Approximations
Approximation algorithms can sometimes be used to obtain efficient solutions where no efficient exact computation is known. In particular, approximations are often useful in a distributed setting where the inputs are held by different parties and are extremely large. Furthermore, for some applications, the parties want to cooperate to compute a function of their inputs without revealing more information than they have to. Suppose the function $\fhat$ is an approximation to the function $f$. Secure multiparty computation of $f$ allows the parties to compute $f$ without revealing more than they have to, but requires some additional overhead in computation and communication. Hence, if $f$ is inefficient or just efficient enough to be practical, a secure computation of $f$ may be impractically expensive. A secure computation of $\fhat$ may be efficient enough, but a secure computation of $\fhat$ is not necessarily as private as a secure computation of $f$, because the output of $\fhat$ may reveal more information than the output of $f$. In this paper, we present definitions and protocols of secure multiparty approximate computation that show how to realize most of the cost savings available by using $\fhat$ instead of $f$ without losing the privacy of a secure computation of $f$. We make three contributions in this paper. First, we give formal definitions of secure multiparty approximate computations. Second, we introduce some general techniques for constructing secure multiparty approximations. Finally, we present an efficient, sublinear-communication, secure approximate computation for the Hamming and $L^{1}$ distances.
1998
EUROCRYPT
1997
JOFC
1991
ASIACRYPT
1990
CRYPTO
1990
CRYPTO
1990
JOFC
1988
CRYPTO
1985
CRYPTO

Program Committees

Eurocrypt 1999
Crypto 1996
Crypto 1993
Eurocrypt 1992
Crypto 1991 (Program chair)
Crypto 1989