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Robust Machine Learning Systems: Challenges,Current Trends, Perspectives, and the Road Ahead
IEEE Design & Test ( IF 2 ) Pub Date : 2020-02-03 , DOI: 10.1109/mdat.2020.2971217
Muhammad Shafique , Mahum Naseer , Theocharis Theocharides , Christos Kyrkou , Onur Mutlu , Lois Orosa , Jungwook Choi

Currently, machine learning (ML) techniques are at the heart of smart cyber-physical systems (CPS) and Internet-of-Things (IoT). This article discusses various challenges and probable solutions for security attacks on these ML-inspired hardware and software techniques. —Partha Pratim Pande, Washington State University

中文翻译:

强大的机器学习系统:挑战,当前趋势,观点和未来之路

当前,机器学习(ML)技术是智能网络物理系统(CPS)和物联网(IoT)的核心。本文讨论了针对这些受ML启发的硬件和软件技术进行安全攻击的各种挑战和可能的解决方案。—华盛顿州立大学Partha Pratim Pande
更新日期:2020-02-03
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