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Secure Multi-Party Computation (MPC) enables a group of nn distrusting parties to jointly compute a function using private inputs. MPC guarantees correctness of computation and confidentiality of inpu...
Classification of personal text messages has many useful applications in surveillance, e-commerce, and mental health care, to name a few. Giving applications access to personal texts can easily lead t...
Secure multi-party computation permits evaluation of any desired functionality on private data without disclosing the data to the participants and is gaining its popularity due to increasing collectio...
Secure Multi-party Computation (MPC) is one of the most influential achievements of modern cryptography: it allows evaluation of an arbitrary function on private inputs from multiple parties without r...
Currently, round complexity and communication complexity are two fundamental issues of secure multi-party computation (MPC) since all known schemes require communication for each multiplication operat...
The motivation for this work comes from the need to strengthen security of secure multi-party protocols with the ability to guarantee that the participants provide their truthful inputs in the computa...
We give a construction of a secure multi-party computation (MPC) protocol from a special type of key agreement, where the distribution of the messages sent by one of the parties is computationally clo...
We discuss the widely increasing range of applications of a cryptographic technique called Multi-Party Computation. For many decades this was perceived to be of purely theoretical interest, but now it...
Secure multi-party computation (MPC) is a central cryptographic task that allows a set of mutually distrustful parties to jointly compute some function of their private inputs where security should ho...
We describe scalable protocols for solving the secure multi-party computation (MPC) problem among a significant number of parties. We consider both the synchronous and the asynchronous communication m...
Traditional protocols for secure multi-party computation (MPC) among nn parties that achieve optimal resiliency communicate at least a linear (in nn) number of bits. In this work we investigate the fe...
We present an actively secure protocol for secure multi-party computation based on lookup tables, by extending the recent, two-party `TinyTable' protocol of Damgard et al. (ePrint 2016). Like TinyTabl...
In this paper, we extend the recent work by Wang et al., who proposed a new framework for secure two-party computation in the preprocessing model that can be instantiated efficiently using TinyOT. We ...
The basic objective of this work is to construct an efficient and secure mechanism for mobile commerce applying the concept of financial cryptography and secure multi-party computation. The mechanis...
In the last few years the efficiency of secure multi-party computation (MPC) increased in several orders of magnitudes. However, this alone might not be enough if we want MPC protocols to be used in...

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