Secure multiparty computation allows for a set of users to evaluate a particular function over their inputs without revealing the information they possess to each other. Theoretically, this can be achieved using fully homomorphic encryption systems, but so far they remain in the realm of computational impracticability. An alternative is to consider secure function evaluation using homomorphic public-key cryptosystems or Garbled Circuits, the latter being a popular trend in recent times due to important breakthroughs. We propose a technique for computing the logsum operation using Garbled Circuits. This technique relies on replacing the logsum operation with an equivalent piecewise linear approximation, taking advantage of recent advances in...
Abstract. This paper reports on a number of conceptual and technical contributions to the currently ...
Garbled circuits, introduced by Yao in the mid 80s, allow computing a function f on an input x witho...
We consider secure two-party computation in a multiple-execution setting, where two parties wish to ...
Secure multiparty computation allows for a set of users to evaluate a particular function over their...
While Secure Multy-Party Computation is a well known solution for cooperative function evaluation on...
While in theory any computable functions can be evaluated in a Secure Two Party Computation (STPC) f...
We present two secure two party computation (STPC) protocols for piecewise function approximation on...
We present two secure two party computation (STPC) protocols for piecewise function approximation on...
Abstract—While in theory any computable functions can be evaluated in a Secure Two Party Computation...
Abstract. Secure two-party computation enables applications in which partic-ipants compute the outpu...
We propose a new two-party computation protocol using Yao’s garbled circuits, which is secure in the...
In this paper, we propose a novel way to provide a fully homomorphic encryption service, namely by u...
Garbled circuits are a fundamental cryptographic primitive that allows two or more parties to secure...
Protocols for secure computation enable mutually distrustful parties to jointly compute on their pri...
Abstract. We optimize the communication (and, indirectly, compu-tation) complexity of two-party secu...
Abstract. This paper reports on a number of conceptual and technical contributions to the currently ...
Garbled circuits, introduced by Yao in the mid 80s, allow computing a function f on an input x witho...
We consider secure two-party computation in a multiple-execution setting, where two parties wish to ...
Secure multiparty computation allows for a set of users to evaluate a particular function over their...
While Secure Multy-Party Computation is a well known solution for cooperative function evaluation on...
While in theory any computable functions can be evaluated in a Secure Two Party Computation (STPC) f...
We present two secure two party computation (STPC) protocols for piecewise function approximation on...
We present two secure two party computation (STPC) protocols for piecewise function approximation on...
Abstract—While in theory any computable functions can be evaluated in a Secure Two Party Computation...
Abstract. Secure two-party computation enables applications in which partic-ipants compute the outpu...
We propose a new two-party computation protocol using Yao’s garbled circuits, which is secure in the...
In this paper, we propose a novel way to provide a fully homomorphic encryption service, namely by u...
Garbled circuits are a fundamental cryptographic primitive that allows two or more parties to secure...
Protocols for secure computation enable mutually distrustful parties to jointly compute on their pri...
Abstract. We optimize the communication (and, indirectly, compu-tation) complexity of two-party secu...
Abstract. This paper reports on a number of conceptual and technical contributions to the currently ...
Garbled circuits, introduced by Yao in the mid 80s, allow computing a function f on an input x witho...
We consider secure two-party computation in a multiple-execution setting, where two parties wish to ...