论文标题
G模块的MPC协议及其在安全比较和relu中的应用
MPC Protocol for G-module and its Application in Secure Compare and ReLU
论文作者
论文摘要
安全比较和安全选择是两个基本MPC（安全多方计算）协议。这些协议的一项重要应用是保存深度学习的隐私计算的安全relu和drelu计算。在本文中，我们介绍了一种数学工具G模块来重新设计此类协议。在数学中，给定G组，G模块是ABELIAN组m，G与M的ABELIAN组结构兼容。 我们为三个G模块操作设计了三个安全协议。即“ G模块动作”，“跨G模块动作”和“ G模块恢复”。据我们所知，这是安全G模块操作的第一项工作。基于它们，我们设计了安全的比较，选择，relu和Drelu协议，与艺术状态相比，它们的沟通效率提高了2倍至10倍。我们的协议也非常有效。他们不需要公共密钥操作或任何其他昂贵的操作。
Secure comparison and secure selection are two fundamental MPC (secure Multi-Party Computation) protocols. One important application of these protocols is the secure ReLU and DReLU computation in privacy preserving deep learning. In this paper, we introduce G-module, a mathematics tool, to re-design such protocols. In mathematics, given a group G, a G-module is an abelian group M on which G acts compatibly with the abelian group structure on M. We design three secure protocols for three G-module operations. i.e. "G-module action", "Cross G-module action" and "G-module recover". As far as we know, this is the first work on secure G-module operations. Based on them, we design secure comparison, selection, ReLU and DReLU protocols, which improve communication efficiency by 2X to 10X compared with state of arts. Our protocols are very computation efficient too. They do not require public key operations or any other expensive operations.
