Set reconciliation is the problem of efficiently computing the difference be-tween two sets of data held by two different parties. We implement set recon-ciliation using the BCH-based secure sketch for the set-difference metric, as defined in [1], to solve this problem. This method publishes a secure sketch of a set A, which reveals little about the actual contents of A, assuming A is sufficiently large. However, given another set B which is sufficiently close to A, the set difference of A and B (and, thus, the exact contents of A) can be computed.
Abstract: "In this paper we consider the problem of privately computing the intersection of sets (se...
We introduce the problem of performing set-difference range queries, where answers to queries are se...
We formalize a realistic model for computations over massive data sets. The model, referred to as th...
Given the original set X where |X| = s, a sketch P is computed from X and made public. From another ...
Range-based set reconciliation is a simple approach to efficiently computing the union of two sets o...
Set reconciliation is a fundamental problem in distributed databases, where two parties each holding...
A secure sketch is a set of published data that can help to recover the original biometric data afte...
We consider a set reconciliation setting in which two parties hold similar sets which they would lik...
We consider the problem of e#ciently reconciling two similar sets held by di#erent hosts while mini...
We consider the problem of e±ciently reconciling two similar sets held by di®erent hosts. This probl...
We present new, simple, efficient data structures for approximate reconciliation of set differences,...
As users migrate information to cloud storage, many distributed cloud-based services use multiple lo...
This work revisits set reconciliation, the problem of synchronizing two multisets of fixed-size valu...
Many applications require performing set operations without publishing individual datesets. In this ...
In this paper we focus on protocols for private set intersection (PSI), through which two parties, e...
Abstract: "In this paper we consider the problem of privately computing the intersection of sets (se...
We introduce the problem of performing set-difference range queries, where answers to queries are se...
We formalize a realistic model for computations over massive data sets. The model, referred to as th...
Given the original set X where |X| = s, a sketch P is computed from X and made public. From another ...
Range-based set reconciliation is a simple approach to efficiently computing the union of two sets o...
Set reconciliation is a fundamental problem in distributed databases, where two parties each holding...
A secure sketch is a set of published data that can help to recover the original biometric data afte...
We consider a set reconciliation setting in which two parties hold similar sets which they would lik...
We consider the problem of e#ciently reconciling two similar sets held by di#erent hosts while mini...
We consider the problem of e±ciently reconciling two similar sets held by di®erent hosts. This probl...
We present new, simple, efficient data structures for approximate reconciliation of set differences,...
As users migrate information to cloud storage, many distributed cloud-based services use multiple lo...
This work revisits set reconciliation, the problem of synchronizing two multisets of fixed-size valu...
Many applications require performing set operations without publishing individual datesets. In this ...
In this paper we focus on protocols for private set intersection (PSI), through which two parties, e...
Abstract: "In this paper we consider the problem of privately computing the intersection of sets (se...
We introduce the problem of performing set-difference range queries, where answers to queries are se...
We formalize a realistic model for computations over massive data sets. The model, referred to as th...