International audienceThis paper presents a moderately secure but very efficient approximate nearest neighbors search. After detailing the threats pertaining to the "honest but curious" model, our approach starts from a state-of-the-art algorithm in the domain of approximate nearest neighbors search. We gradually develop mechanisms partially blocking the attacks threatening the original algorithm. The loss of performances compared to the original algorithm is mainly an overhead of a constant computation time and communication payload which are independent of the size of the database
Approximate Nearest neighbor search (ANNS) is fundamental and essential operation in applications f...
We introduce a new variant of the nearest neighbor search problem, which allows for some coordinates...
International audienceWe propose an approximate nearest neighbor search method based on product quan...
International audienceThis paper presents a moderately secure but very efficient approximate nearest...
Nearest neighbor search is a fundamental building-block for a wide range of applications. A privacy-...
International audienceThis paper proposes a binarization scheme for vectors of high dimension based ...
Data mining is frequently obstructed by privacy concerns. In many cases, data is distributed and br...
In this article, we propose a scheme, named QuickN, which can efficiently and securely enable neares...
This paper describes a new approach for performing efficient approximate k-nearest-neighbor searches...
Nearest-neighbor search is a very natural and universal problem in computer science. Often times, th...
Abstract—In this paper, we investigate the secure nearest neighbor (SNN) problem, in which a client ...
International audienceSimilarity search in high dimensional space database is split into two worlds:...
We study the problem of privacy-preserving approximate kNN search in an outsourced environment — the...
Artículo de publicación ISIProximity searching is the problem of retrieving,from a given database, t...
The long-standing problem of efficient nearest-neighbor (NN) search has ubiqui-tous applications ran...
Approximate Nearest neighbor search (ANNS) is fundamental and essential operation in applications f...
We introduce a new variant of the nearest neighbor search problem, which allows for some coordinates...
International audienceWe propose an approximate nearest neighbor search method based on product quan...
International audienceThis paper presents a moderately secure but very efficient approximate nearest...
Nearest neighbor search is a fundamental building-block for a wide range of applications. A privacy-...
International audienceThis paper proposes a binarization scheme for vectors of high dimension based ...
Data mining is frequently obstructed by privacy concerns. In many cases, data is distributed and br...
In this article, we propose a scheme, named QuickN, which can efficiently and securely enable neares...
This paper describes a new approach for performing efficient approximate k-nearest-neighbor searches...
Nearest-neighbor search is a very natural and universal problem in computer science. Often times, th...
Abstract—In this paper, we investigate the secure nearest neighbor (SNN) problem, in which a client ...
International audienceSimilarity search in high dimensional space database is split into two worlds:...
We study the problem of privacy-preserving approximate kNN search in an outsourced environment — the...
Artículo de publicación ISIProximity searching is the problem of retrieving,from a given database, t...
The long-standing problem of efficient nearest-neighbor (NN) search has ubiqui-tous applications ran...
Approximate Nearest neighbor search (ANNS) is fundamental and essential operation in applications f...
We introduce a new variant of the nearest neighbor search problem, which allows for some coordinates...
International audienceWe propose an approximate nearest neighbor search method based on product quan...