论文标题

人工神经网络和断层注射攻击

Artificial Neural Networks and Fault Injection Attacks

论文作者

Tajik, Shahin, Ganji, Fatemeh

论文摘要

本章介绍了面对故障注射攻击的人工智能(AI)和神经网络(NN)加速器的安全评估。更具体地说,它讨论了这些平台上的资产,并将其与密码系统领域中已知和研究的资产进行了比较。为了精确定义威胁模型,这是必须采取的关键步骤。关于这一点,探索了安装在NNS和AI加速器上的故障攻击。

This chapter is on the security assessment of artificial intelligence (AI) and neural network (NN) accelerators in the face of fault injection attacks. More specifically, it discusses the assets on these platforms and compares them with ones known and well-studied in the field of cryptographic systems. This is a crucial step that must be taken in order to define the threat models precisely. With respect to that, fault attacks mounted on NNs and AI accelerators are explored.

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