A survey on adversarial deep learning robustness in medical image analysis

KD Apostolidis, GA Papakostas - Electronics, 2021 - mdpi.com
In the past years, deep neural networks (DNN) have become popular in many disciplines
such as computer vision (CV), natural language processing (NLP), etc. The evolution of …

Digital watermarking as an adversarial attack on medical image analysis with deep learning

KD Apostolidis, GA Papakostas - Journal of Imaging, 2022 - mdpi.com
In the past years, Deep Neural Networks (DNNs) have become popular in many disciplines
such as Computer Vision (CV), and the evolution of hardware has helped researchers to …

How resilient are deep learning models in medical image analysis? The case of the moment-based adversarial attack (Mb-AdA)

TV Maliamanis, KD Apostolidis, GA Papakostas - Biomedicines, 2022 - mdpi.com
In the past years, deep neural networks (DNNs) have become popular in many disciplines
such as computer vision (CV). One of the most important challenges in the CV area is …

Addressing the false negative problem of deep learning MRI reconstruction models by adversarial attacks and robust training

K Cheng, F Calivá, R Shah, M Han… - … Imaging with Deep …, 2020 - proceedings.mlr.press
Deep learning models have been shown to be successful in accelerating MRI
reconstruction, over traditional methods. However, it has been observed that these methods …

Adversarial robust training of deep learning MRI reconstruction models

F Calivá, K Cheng, R Shah, V Pedoia - arXiv preprint arXiv:2011.00070, 2020 - arxiv.org
Deep Learning (DL) has shown potential in accelerating Magnetic Resonance Image
acquisition and reconstruction. Nevertheless, there is a dearth of tailored methods to …

Addressing The False Negative Problem of MRI Reconstruction Networks by Adversarial Attacks and Robust Training

K Cheng, F Calivá, R Shah, M Han… - Medical Imaging with …, 2020 - openreview.net
Deep learning models have been shown to be successful in accelerating MRI
reconstruction, over traditional methods. However, it has been observed that these methods …