Artificial Neural Networks and Fault Injection Attacks
Cryptography and Security
2021-02-12 v2 Machine Learning
Abstract
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.
Cite
@article{arxiv.2008.07072,
title = {Artificial Neural Networks and Fault Injection Attacks},
author = {Shahin Tajik and Fatemeh Ganji},
journal= {arXiv preprint arXiv:2008.07072},
year = {2021}
}