Oct 14, 2022 · A fast adversarial sample generation method, Feature Space-Restricted Attention Attack is proposed to explore more confusing adversarial samples ...
In this article, adversarial attacks on deep learning systems in medicine are analyzed from two dif- ferent points of view: 1) white box and 2) black box. A ...
Oct 22, 2024 · In this article, adversarial attacks on deep learning systems in medicine are analyzed from two different points of view: 1) white box and 2) ...
This paper demonstrates that adversarial examples are capable of manipulating deep learning systems across three clinical domains.
A feature space-restricted attention attack on medical deep learning systems. Z Wang, X Shu, Y Wang, Y Feng, L Zhang, Z Yi. IEEE Transactions on Cybernetics 53 ...
A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems · Zizhou WangXin ShuYan WangYangqin FengLei ZhangZhang Yi. Medicine, Computer ...
This article provides a comprehensive survey of current advancements in adversarial attacks and their accompanying defensive strategies.
Nov 4, 2024 · We present a comprehensive survey on recent advances in adversarial attacks and defenses for medical image analysis with a systematic taxonomy in terms of the ...
This paper introduces a novel Model Ensemble Feature Fusion (MEFF) designed to combat adversarial attacks in medical image applications.
May 4, 2023 · In this article, we focus on adversarial attacks, one of the most well-known attack methods, which provide evidence (ie, adversarial examples) of the lack of ...