Article

Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks With Transfer Learning

2021-10-01

Abstract excerpt

<title>Abstract</title> <p><bold>Background. </bold>Transfer learning from natural images is well used in deep neural networks (DNNs) for medical image classification to achieve computer-aided clinical diagnosis. Although the adversarial vulnerability of DNNs hinders practical applications owing to the high stakes of diagnosis, adversarial attacks are expected to be limited because training data — which are often...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c9803108-ff13-56d3-b6a1-03097aa7c034
DOI: 10.21203/rs.3.rs-757225/v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Natural Images Allow Universal Adversarial Attacks on Medical Image Classification Using Deep Neural Networks With Transfer LearningDOI 10.21203/rs.3.rs-757225/v2Read

How Adversarial attacks affect Deep Neural Networks Detecting COVID-19?Semantic proximity Read

Adversarial Robustness of Capsule Networks for Medical Image ClassificationSemantic proximity Read

Improving Transferability of Adversarial Examples with Mixed-Representation AttackSemantic proximity Read

Improving the generalization of Deep Learning Classification Models in Medical Imaging using Transfer Learning and Generative Adversarial NetworksSemantic proximity Read

A comparative study of deepfake creation and detection in Lung Adenocarcinoma ImagesSemantic proximity Read

Generation and Countermeasures of Adversarial Examples on Vision: A SurveySemantic proximity Read

Beyond AI: Fooling DNN Model in Physical WorldSemantic proximity Read

Can Demographic Information Be Reduced in Retinal Fundus Images While Preserving Glaucoma-Relevant Features?Semantic proximity Read

DEEP LEARNING TECHNIQUES FOR MEDICAL IMAGE ANALYSIS AND DIAGNOSISSemantic proximity Read

Deep Learning Techniques for Medical Image Analysis and DiagnosisSemantic proximity Read

AECNet: Advancing Skin Cancer Classification using ACGAN-Based Synthetic Data with Grad-CAM ExplainabilitySemantic proximity Read

Chained Dual-GAN: A Generalized Defense against Adversarial AttacksSemantic proximity Read