Unconditionally secure multiparty computation (MPC) allows a set of n mutually distrusting parties to securely compute an agreed function f over some finite field in the presence of a computationally unbounded adversary, who can actively corrupt any t out of the n parties. Designing an asynchronous MPC (AMPC) protocol with a communication complexity of O(n) field elements per multiplication gate is a long standing open problem. We solve the open problem by presenting two AMPC protocols with the corruption threshold t < n / 4. Our first protocol is statistically secure (i.e. involves a negligible error in the protocol outcome) in a completely asynchronous setting and improves the communication complexity of the previous best AMPC protocol ...
We introduce a new approach to multiparty computation (MPC) basingit on homomorphic threshold crypto...
Abstract. Secure multi-party computation (MPC) allows a set of n players to securely compute an agre...
Secure multiparty computation (MPC) addresses the challenge of evaluating functions on secret inputs...
In this work, we study unconditionally-secure multi-party computation (MPC) tolerating $t < n/3$ cor...
We study the communication complexity of unconditionally secure multiparty computation (MPC) protoco...
In this paper, we present an optimally-resilient, unconditionally-secure asynchronous multi-party co...
Secure multi-party computation (MPC) is a fundamental problem in secure distributed computing. An MP...
In this paper, we present an optimally-resilient, unconditionally-secure asynchronous multi-party co...
Secure Multi-Party Computation (MPC) providing information theoretic security allows a set of n part...
Classical results in unconditionally secure multi-party computation (MPC) protocols with a passive a...
Classical results in unconditionally secure multi-party computation (MPC) protocols with a passive a...
The best known $n$ party unconditional multiparty computation protocols with an optimal corruption t...
In this work, we study unconditionally-secure multi-party computation (MPC) tolerating t < n/3 corru...
We describe scalable protocols for solving the secure multi-party computation (MPC) problem among a ...
We present a new technique for robust secret reconstruction with $O(n)$ communication complexity. B...
We introduce a new approach to multiparty computation (MPC) basingit on homomorphic threshold crypto...
Abstract. Secure multi-party computation (MPC) allows a set of n players to securely compute an agre...
Secure multiparty computation (MPC) addresses the challenge of evaluating functions on secret inputs...
In this work, we study unconditionally-secure multi-party computation (MPC) tolerating $t < n/3$ cor...
We study the communication complexity of unconditionally secure multiparty computation (MPC) protoco...
In this paper, we present an optimally-resilient, unconditionally-secure asynchronous multi-party co...
Secure multi-party computation (MPC) is a fundamental problem in secure distributed computing. An MP...
In this paper, we present an optimally-resilient, unconditionally-secure asynchronous multi-party co...
Secure Multi-Party Computation (MPC) providing information theoretic security allows a set of n part...
Classical results in unconditionally secure multi-party computation (MPC) protocols with a passive a...
Classical results in unconditionally secure multi-party computation (MPC) protocols with a passive a...
The best known $n$ party unconditional multiparty computation protocols with an optimal corruption t...
In this work, we study unconditionally-secure multi-party computation (MPC) tolerating t < n/3 corru...
We describe scalable protocols for solving the secure multi-party computation (MPC) problem among a ...
We present a new technique for robust secret reconstruction with $O(n)$ communication complexity. B...
We introduce a new approach to multiparty computation (MPC) basingit on homomorphic threshold crypto...
Abstract. Secure multi-party computation (MPC) allows a set of n players to securely compute an agre...
Secure multiparty computation (MPC) addresses the challenge of evaluating functions on secret inputs...