Secure and efficient approximate nearest neighbors search

B. Mathon, T. Furon, L. Amsaleg, J. Bringer
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引用次数: 11

Abstract

This 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.
安全高效的近似近邻搜索
本文提出了一种中等安全但非常有效的近似近邻搜索方法。在详细介绍了与“诚实但好奇”模型相关的威胁之后,我们的方法从近似近邻搜索领域的最先进算法开始。我们逐渐开发出部分阻止威胁原始算法的攻击的机制。与原始算法相比,性能损失主要是恒定的计算时间和通信负载的开销,而这些开销与数据库的大小无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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