We consider generic secure computation in the setting where a semi-honest server assists malicious clients in performing multiple secure two-party evaluations (SFE). We present practical schemes secure in the above model. The main technical difficulty that we address is efficiently ensuring input consistency of the malicious players across multiple executions. That is, we show how any player ca...

With relatively few exceptions, the literature on efficient (practical) secure computation has focused on secure two-party computation (2PC). It is, in general, unclear whether the techniques used to construct practical 2PC protocols—in particular, the cut-and-choose approach—can be adapted to the multi-party setting. In this work we explore the possibility of using cut-and-choose for practical...

Secure two-party and multiparty computation has long stood at the center of the foundations of theoretical cryptography. Recently, however, interest has grown regarding the efficiency of such protocols and their application in practice. As a result, there has been significant progress on this problem and it is possible to actually carry out secure computation for non-trivial tasks on reasonably...

We study the question of designing leakage-resilient secure computation protocols. Our model is that of only computation leaks information with a leak-free input encoding phase. In more detail, we assume an offline phase called the input encoding phase in which each party encodes its input in a specified format. This phase is assumed to be free of any leakage and may or may not depend upon the ...

Traditional approaches to secure computation begin by representing the function f being computed as a circuit. For any function f that depends on each of its inputs, this implies a protocol with complexity at least linear in the input size. In fact, linear running time is inherent for secure computation of non-trivial functions, since each party must “touch” every bit of their input lest inform...

Secure two-party computation allows two mutually distrusting parties to jointly compute an arbitrary function on their private inputs without revealing anything but the result. An interesting target for deploying secure computation protocols are mobile devices as they contain a lot of sensitive user data. However, their resource restriction makes the deployment of secure computation protocols a...

Secure Computation in Heterogeneous Environments: How to Bring Multiparty Computation Closer to Practice?