RAM-model secure computation addresses the inherent limitations of circuit-model secure computation considered in almost all previous work. Here, we describe the first automated approach for RAM-model secure computation in the semi-honest model. We define an intermediate representation called SCVM and a corresponding type system suited for RAM-model secure computation. Leveraging compile-time optimizations, our approach achieves order-of-magnitude speedups compared to both circuit-model secure computation and the state-of-art RAM-model secure computation
Secure computation allows mutually distrusting parties to compute over private data. Such collaborat...
Secure computation has the potential to completely reshape the cybersecruity landscape, but this wil...
Secure two-party computation has witnessed significant efficiency improvements in the recent years. ...
Abstract—RAM-model secure computation addresses the in-herent limitations of circuit-model secure co...
Abstract—RAM-model secure computation addresses the in-herent limitations of circuit-model secure co...
A crucial issue, that mostly affects the performance of actively secure computation of RAM programs,...
Traditional approaches to secure computation begin by representing the function $f$ being computed a...
We design and implement a Distributed Oblivious Random Access Memory (ORAM) data structure that is o...
Abstract. We present the first efficient (i.e., polylogarithmic overhead) method for securely and pr...
Oblivious RAMs (ORAMs) have traditionally been mea-sured by their bandwidth overhead and client stor...
Oblivious RAMs (ORAMs) have traditionally been mea-sured by their bandwidth overhead and client stor...
Secure computation involves multiple parties computing a common function while keeping their inputs ...
Graduation date: 2016Secure multi-party computation (MPC) is a conceptual framework in cryptography....
We are interested in secure computation protocols in settings where the number of parties is huge an...
In theory secure computation offers a solution for privacy in many collaborative applications. Howev...
Secure computation allows mutually distrusting parties to compute over private data. Such collaborat...
Secure computation has the potential to completely reshape the cybersecruity landscape, but this wil...
Secure two-party computation has witnessed significant efficiency improvements in the recent years. ...
Abstract—RAM-model secure computation addresses the in-herent limitations of circuit-model secure co...
Abstract—RAM-model secure computation addresses the in-herent limitations of circuit-model secure co...
A crucial issue, that mostly affects the performance of actively secure computation of RAM programs,...
Traditional approaches to secure computation begin by representing the function $f$ being computed a...
We design and implement a Distributed Oblivious Random Access Memory (ORAM) data structure that is o...
Abstract. We present the first efficient (i.e., polylogarithmic overhead) method for securely and pr...
Oblivious RAMs (ORAMs) have traditionally been mea-sured by their bandwidth overhead and client stor...
Oblivious RAMs (ORAMs) have traditionally been mea-sured by their bandwidth overhead and client stor...
Secure computation involves multiple parties computing a common function while keeping their inputs ...
Graduation date: 2016Secure multi-party computation (MPC) is a conceptual framework in cryptography....
We are interested in secure computation protocols in settings where the number of parties is huge an...
In theory secure computation offers a solution for privacy in many collaborative applications. Howev...
Secure computation allows mutually distrusting parties to compute over private data. Such collaborat...
Secure computation has the potential to completely reshape the cybersecruity landscape, but this wil...
Secure two-party computation has witnessed significant efficiency improvements in the recent years. ...