论文标题
在安全机器学习的背景下检查冗余
Examining Redundancy in the Context of Safe Machine Learning
论文作者
论文摘要
本文介绍了MNIST数字数据库上的神经网络分类器的一组实验。目的是研究冗余体系结构的幼稚实现，这是迈向安全可靠的机器学习的第一步。我们使用MNIST数据库报告了一组测量值，这些数据库最终会强调在安全可靠的系统中使用NN分类器时的预期困难。
This paper describes a set of experiments with neural network classifiers on the MNIST database of digits. The purpose is to investigate naïve implementations of redundant architectures as a first step towards safe and dependable machine learning. We report on a set of measurements using the MNIST database which ultimately serve to underline the expected difficulties in using NN classifiers in safe and dependable systems.
