论文标题
特别会议：迈向敏捷的设计方法，以实现高效，可靠和安全的ML系统
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
论文作者
论文摘要
在过去的几年中，机器学习的现实用例（ML）爆炸了。但是，当前的计算基础架构不足以支持所有现实世界的应用程序和方案。除了高效率要求外，现代ML系统预计将对硬件故障以及对抗性和IP窃取攻击的安全性高度可靠。隐私问题也已成为一阶问题。本文总结了高效，可靠和安全的ML系统敏捷开发的主要挑战，然后介绍了一种敏捷设计方法的概述，以基于用户定义的约束和目标生成高效，可靠和安全的ML系统。
The real-world use cases of Machine Learning (ML) have exploded over the past few years. However, the current computing infrastructure is insufficient to support all real-world applications and scenarios. Apart from high efficiency requirements, modern ML systems are expected to be highly reliable against hardware failures as well as secure against adversarial and IP stealing attacks. Privacy concerns are also becoming a first-order issue. This article summarizes the main challenges in agile development of efficient, reliable and secure ML systems, and then presents an outline of an agile design methodology to generate efficient, reliable and secure ML systems based on user-defined constraints and objectives.
