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Adversarial attacks in radiology – A systematic review
Vera Sorin
*
, Shelly Soffer
, Benjamin S. Glicksberg
, Yiftach Barash
,
Eli Konen
,
Eyal Klang
*
Corresponding author for this work
Diagnostic Imaging
Sheba Medical Center at Tel Hashomer
Tel Aviv University
Assuta Medical Center
Ben-Gurion University of the Negev
Icahn School of Medicine at Mount Sinai
Research output
:
Contribution to journal
›
Review article
›
peer-review
23
Scopus citations
Overview
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Keyphrases
Radiology
100%
Adversarial Attack
100%
Highly Effective
20%
Safe Use
20%
Potential Risk
20%
MEDLINE
20%
Success Rate
20%
Deep Learning Applications
20%
Abdominal CT
20%
Legal Guidelines
20%
Google Scholar
20%
Brain MRI
20%
Algorithm Performance
20%
Cybersecurity
20%
Mammography
20%
Chest CT
20%
Deep Learning Technology
20%
Classification Algorithms
20%
Ethical Guidelines
20%
Technology in Medicine
20%
CT-1
20%
White-box Attack
20%
Image Classification Algorithm
20%
Cybersecurity Measures
20%
Black Hole Attack
20%
Chest X-ray Classification
20%
Computer Science
Adversarial Machine Learning
100%
Classification Algorithm
40%
Cybersecurity
40%
Deep Learning Method
40%
Image Classification
20%
Algorithm Performance
20%
Learning Technology
20%
Black-Box Attack
20%
Medicine and Dentistry
Systematic Review
100%
Radiology
100%
Medicine
25%
Chest Radiograph
25%
Mammography
25%
Magnetic Resonance Imaging of Brain
25%