Over the last decade, adversarial attack algorithms have revealed instabilities in deep learning tools. These algorithms raise issues regarding safety, reliability and interpretability in artificial intelligence; especially in high risk settings. From a practical perspective, there has been a war of escalation between those developing attack and defence strategies. At a more theoretical level, researchers have also studied bigger picture questions concerning the existence and computability of attacks. Here we give a brief overview of the topic, focusing on aspects that are likely to be of interest to researchers in applied and computational mathematics.
Cite
@article{arxiv.2308.15092,
title = {Can We Rely on AI?},
author = {Desmond J. Higham},
journal= {arXiv preprint arXiv:2308.15092},
year = {2023}
}