ResearchTrend.AI
Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors

Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors

Gerda Bortsova
C. González-Gonzalo
S. Wetstein
Florian Dubost
Ioannis Katramados
Laurens Hogeweg
B. Liefers
Bram van Ginneken
J. Pluim
M. Veta
Clara I. Sánchez
Marleen de Bruijne
ArXivPDFHTML

Papers citing "Adversarial Attack Vulnerability of Medical Image Analysis Systems: Unexplored Factors"

10 / 10 papers shown
Title
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images
Julia M. H. Noothout
B. D. de Vos
J. Wolterink
E. Postma
P. Smeets
R. Takx
T. Leiner
M. Viergever
Ivana Išgum
25
84
0
10 Jul 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
62
683
0
18 Jun 2020
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk
S. Wetstein
Allison M. Onken
Christina Luffman
G. Baker
Michael E. Pyle
...
S. Schnitt
J. Pluim
R. Tamimi
Y. Heng
M. Veta
28
29
0
31 Oct 2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Xiahai Zhuang
Lei Li
Christian Payer
Darko Štern
M. Urschler
...
Sebastien Ourselin
R. Mohiaddin
J. Keegan
D. Firmin
Guang Yang
44
270
0
21 Feb 2019
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
J. Uesato
Brendan O'Donoghue
Aaron van den Oord
Pushmeet Kohli
AAML
118
600
0
15 Feb 2018
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
50
1,093
0
27 Dec 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar
Jeremy Irvin
Kaylie Zhu
Brandon Yang
Hershel Mehta
...
Aarti Bagul
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
LM&MA
56
2,691
0
14 Nov 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
88
1,851
0
20 May 2017
The Space of Transferable Adversarial Examples
The Space of Transferable Adversarial Examples
Florian Tramèr
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
SILM
54
555
0
11 Apr 2017
Delving into Transferable Adversarial Examples and Black-box Attacks
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu
Xinyun Chen
Chang-rui Liu
D. Song
AAML
105
1,727
0
08 Nov 2016