A comprehensive review and analysis of deep learning-based medical image adversarial attack and defense

GW Muoka, D Yi, CC Ukwuoma, A Mutale, CJ Ejiyi… - Mathematics, 2023 - mdpi.com
Deep learning approaches have demonstrated great achievements in the field of computer-
aided medical image analysis, improving the precision of diagnosis across a range of …

Adversarial attack and defense for medical image analysis: Methods and applications

J Dong, J Chen, X Xie, J Lai, H Chen - arXiv preprint arXiv:2303.14133, 2023 - arxiv.org
Deep learning techniques have achieved superior performance in computer-aided medical
image analysis, yet they are still vulnerable to imperceptible adversarial attacks, resulting in …

Medical images under tampering

MJ Tsai, PY Lin - Multimedia Tools and Applications, 2024 - Springer
Attacks on deep learning models are a constant threat in the world today. As more deep
learning models and artificial intelligence (AI) are being implemented across different …

PA-SIE: Pixel-Attack Methodology Factored Selective Image Encryption Scheme for Low Resource Edge Computing Systems

H Gupta, M Kabra, A Zjigyasu… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The transmission of image data over the internet is inevitable considering its effective use-
cases in tele-healthcare, online-banking, remote-education, e-commerce, email exchanges …

On One-Pixel Attacking Medical Images against Deep Learning Models

Y Wang, W Wang, X Wang, Z Chen - Proceedings of the 2023 4th …, 2023 - dl.acm.org
Deep neural network models has made impressive achievements in various domains, along
with their non-negligible vulnerability to adversarial attacks. This intrinsic weakness of deep …

Practical Attack and Defense Methods for Integrity of Deep Neural Networks in Digital Pathology Image Analysis Systems

M Aukeala - 2024 - theseus.fi
Digital pathology has made huge strides in development over the past decade. The
introduction of new technology brings with it huge potential in efficiency, accuracy, and cost …

[PDF][PDF] An approach to detecting L0-optimized attacks on image processing neural networks via means of mathematical statistics

DA Esipov - 2024 - ntv.ifmo.ru
Artificial intelligence has become widespread in image processing tasks. At the same time,
the number of vulnerabilities is increasing in systems implementing these artificial …