深度学习与差分隐私

Jul, 2016

Deep Learning with Differential Privacy

Martín Abadi, Andy Chu, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov...

TL;DR本论文提出新的算法技术，包括隐私成本的细化分析，并在差分隐私框架下进行。实验结果表明：我们可以在较小的隐私成本下训练具有非凸目标的深度神经网络，而且在软件复杂性、训练效率和模型质量上具有可管理的成本。

Abstract

machine learning techniques based on neural networks are achieving remarkable results in a wide variety of domains. Often, the training of models requires large, representative datasets, which may be crowdsourced