Large Scale, Actively Secure Computation from LPN and Free-XOR Garbled Circuits
Whilst secure multiparty computation (MPC) based on garbled circuits is concretely efficient for a small number of parties $n$, the gap between the complexity of practical protocols, which is $O(n^2)$ per party, and the theoretical complexity, which is $O(n)$ per party, is prohibitive for large values of $n$. In order to bridge this gap, Ben-Efraim, Lindell and Omri (ASIACRYPT 2017) introduced a garbled-circuit-based MPC protocol with an almost-practical pre-processing, yielding $O(n)$ complexity per party. However, this protocol is only passively secure and does not support the free-XOR technique by Kolesnikov and Schneider (ICALP 2008), on which almost all practical garbled-circuit-based protocols rely on for their efficiency. In this work, to further bridge the gap between theory and practice, we present a new $n$-party garbling technique based on a new variant of standard LPN-based encryption. Using this approach we can describe two new garbled-circuit based protocols, which have practical evaluation phases. Both protocols are in the preprocessing model, have $O(n)$ complexity per party, are actively secure and support the free-XOR technique. The first protocol tolerates full threshold corruption and ensures the garbled circuit contains no adversarially introduced errors, using a rather expensive garbling phase. The second protocol assumes that at least $n/c$ of the parties are honest (for an arbitrary fixed value $c$) and allows a significantly lighter preprocessing, at the cost of a small sacrifice in online efficiency. We demonstrate the practicality of our approach with an implementation of the evaluation phase using different circuits. We show that like the passively-secure protocol of Ben-Efraim, Lindell and Omri, our approach starts to improve upon other practical protocols with $O(n^2)$ complexity when the number of parties is around $100$.
On Multiparty Garbling of Arithmetic Circuits
We initiate a study of garbled circuits that contain both Boolean and arithmetic gates in secure multiparty computation. In particular, we incorporate the garbling gadgets for arithmetic circuits recently presented by Ball, Malkin, and Rosulek (ACM CCS 2016) into the multiparty garbling paradigm initially introduced by Beaver, Micali, and Rogaway (STOC ’90). This is the first work that studies arithmetic garbled circuits in the multiparty setting. Using mixed Boolean-arithmetic circuits allows more efficient secure computation of functions that naturally combine Boolean and arithmetic computations. Our garbled circuits are secure in the semi-honest model, under the same hardness assumptions as Ball et al., and can be efficiently and securely computed in constant rounds assuming an honest majority.We first extend free addition and multiplication by a constant to the multiparty setting. We then extend to the multiparty setting efficient garbled multiplication gates. The garbled multiplication gate construction we show was previously achieved only in the two-party setting and assuming a random oracle.We further present a new garbling technique, and show how this technique can improve efficiency in garbling selector gates. Selector gates compute a simple “if statement” in the arithmetic setting: the gate selects the output value from two input integer values, according to a Boolean selector bit; if the bit is 0 the output equals the first value, and if the bit is 1 the output equals the second value. Using our new technique, we show a new and designated garbled selector gate that reduces by approximately $$33\%$$ the evaluation time, for any number of parties, from the best previously known constructions that use existing techniques and are secure based on the same hardness assumptions.On the downside, we find that testing equality and computing exponentiation by a constant are significantly more complex to garble in the multiparty setting than in the two-party setting.