In this paper, we describe efficient protocols to perform in parallel many reads and writes in private arrays according to private indices. The protocol is implemented on top of the Arithmetic Black Box (ABB) and can be freely composed to build larger privacypreserving applications. For a large class of secure multiparty computation (SMC) protocols, our technique has better practical and asymptotic performance than any previous ORAM technique that has been adapted for use in SMC
In this paper, we propose and present secure multiparty computation (SMC) protocols for single-sourc...
Privacy-preserving techniques for distributed computation have been proposed recently as a promising...
We design and implement a Distributed Oblivious Random Access Memory (ORAM) data structure that is o...
Abstract. We present oblivious implementations of several data structures for secure multiparty com-...
Secure multi-party computation (MPC) enables mutually distrusting parties to compute securely over t...
Secure multiparty computation (SMC) allows a set of parties to jointly compute a function on private...
An Oblivious RAM (ORAM) protocol allows a client to access memory outsourced at the server without l...
In a data-driven society, individuals and companies encounter numerous situations where private info...
Thesis (Master's)--University of Washington, 2018In this thesis, we implement a framework for secure...
Secure multi-party computation (MPC) allows a set of parties to jointly compute a function on their ...
In this paper we address the issue related to privacy, security, complexity and Implementation, var...
The all increasing need for data protection has given raise to a plethora of privacy preserving cry...
Abstract. Oblivious RAM (ORAM) is a cryptographic primitive that allows a trusted CPU to securely ac...
The significant improvements in technology that have been seen in recent years have resulted in a sh...
We construct a general purpose secure multiparty computation protocol which remains secure under (a-...
In this paper, we propose and present secure multiparty computation (SMC) protocols for single-sourc...
Privacy-preserving techniques for distributed computation have been proposed recently as a promising...
We design and implement a Distributed Oblivious Random Access Memory (ORAM) data structure that is o...
Abstract. We present oblivious implementations of several data structures for secure multiparty com-...
Secure multi-party computation (MPC) enables mutually distrusting parties to compute securely over t...
Secure multiparty computation (SMC) allows a set of parties to jointly compute a function on private...
An Oblivious RAM (ORAM) protocol allows a client to access memory outsourced at the server without l...
In a data-driven society, individuals and companies encounter numerous situations where private info...
Thesis (Master's)--University of Washington, 2018In this thesis, we implement a framework for secure...
Secure multi-party computation (MPC) allows a set of parties to jointly compute a function on their ...
In this paper we address the issue related to privacy, security, complexity and Implementation, var...
The all increasing need for data protection has given raise to a plethora of privacy preserving cry...
Abstract. Oblivious RAM (ORAM) is a cryptographic primitive that allows a trusted CPU to securely ac...
The significant improvements in technology that have been seen in recent years have resulted in a sh...
We construct a general purpose secure multiparty computation protocol which remains secure under (a-...
In this paper, we propose and present secure multiparty computation (SMC) protocols for single-sourc...
Privacy-preserving techniques for distributed computation have been proposed recently as a promising...
We design and implement a Distributed Oblivious Random Access Memory (ORAM) data structure that is o...