使用敌对神经加密学习保护通信

Oct, 2016

Learning to Protect Communications with Adversarial Neural Cryptography

Martín Abadi, David G. Andersen

TL;DR本文探讨神经网络在多智能体系统中，如何通过敌对训练实现加密解密操作，从而保障通信内容的机密性。研究表明神经网络能够学习如何选择性地运用加密和解密操作以实现保密的目标。

Abstract

We ask whether neural networks can learn to use secret keys to protect information from other neural networks. Specifically, we focus on ensuring