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CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning

CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning

11 January 2019
Yisroel Mirsky
Tom Mahler
I. Shelef
Yuval Elovici
    MedIm
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Papers citing "CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning"

40 / 40 papers shown
Title
Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis
Chanyoung Kim
Dayun Ju
Jinyeong Kim
Woojung Han
Roberto Alcover-Couso
Seong Jae Hwang
MedIm
58
0
0
11 Mar 2025
Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models:
  Vulnerability to Adversarial Attacks
Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks
Zhengbo Zhou
Degan Hao
Dooman Arefan
M. Zuley
J. Sumkin
Shandong Wu
AAML
28
0
0
29 Oct 2024
Large Language Model Benchmarks in Medical Tasks
Large Language Model Benchmarks in Medical Tasks
Lawrence K. Q. Yan
Ming Li
Y. Zhang
Caitlyn Heqi Yin
Cheng Fei
...
Ziqian Bi
Pohsun Feng
Keyu Chen
Junyu Liu
Qian Niu
LM&MA
AI4MH
51
5
0
28 Oct 2024
Localization of Synthetic Manipulations in Western Blot Images
Localization of Synthetic Manipulations in Western Blot Images
Anmol Manjunath
Viola Negroni
S. Mandelli
Daniel Moreira
Paolo Bestagini
22
0
0
25 Aug 2024
Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes
Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes
Fred M. Grabovski
Lior Yasur
Guy Amit
Yuval Elovici
Yisroel Mirsky
DiffM
MedIm
21
1
0
21 Jul 2024
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications
  within Australian Critical Technologies of National Interest
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest
Christoforus Yoga Haryanto
Minh Hieu Vu
Trung Duc Nguyen
Emily Lomempow
Yulia Nurliana
Sona Taheri
24
2
0
01 Jul 2024
Synthetic Medical Imaging Generation with Generative Adversarial
  Networks For Plain Radiographs
Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs
John R. McNulty
Lee Kho
Alexandria L. Case
Charlie Fornaca
Drew Johnston
David Slater
J. Abzug
Sybil A. Russell
MedIm
33
5
0
28 Mar 2024
Adversarially Robust Feature Learning for Breast Cancer Diagnosis
Adversarially Robust Feature Learning for Breast Cancer Diagnosis
Degan Hao
Dooman Arefan
M. Zuley
Wendie Berg
Shandong Wu
OOD
MedIm
24
1
0
13 Feb 2024
Comparative Analysis of Deep Convolutional Neural Networks for Detecting
  Medical Image Deepfakes
Comparative Analysis of Deep Convolutional Neural Networks for Detecting Medical Image Deepfakes
Abdel Rahman Alsabbagh
Omar Al-Kadi
AAML
MedIm
27
1
0
08 Jan 2024
MalDicom: A Memory Forensic Framework for Detecting Malicious Payload in
  DICOM Files
MalDicom: A Memory Forensic Framework for Detecting Malicious Payload in DICOM Files
Ayushi Mishra
P. Bagade
MedIm
11
1
0
01 Dec 2023
A Survey on Privacy of Health Data Lifecycle: A Taxonomy, Review, and
  Future Directions
A Survey on Privacy of Health Data Lifecycle: A Taxonomy, Review, and Future Directions
Sunanda Bose
D. Marijan
11
3
0
09 Nov 2023
M3Dsynth: A dataset of medical 3D images with AI-generated local
  manipulations
M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations
Giada Zingarini
D. Cozzolino
Riccardo Corvi
Giovanni Poggi
L. Verdoliva
DiffM
MedIm
11
7
0
14 Sep 2023
The Age of Synthetic Realities: Challenges and Opportunities
The Age of Synthetic Realities: Challenges and Opportunities
J. P. Cardenuto
Jing Yang
Rafael Padilha
Renjie Wan
Daniel Moreira
Haoliang Li
Shiqi Wang
Fernanda A. Andaló
Sébastien Marcel
Anderson de Rezende Rocha
DeLMO
42
29
0
09 Jun 2023
Can We Revitalize Interventional Healthcare with AI-XR Surgical
  Metaverses?
Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses?
Adnan Qayyum
Muhammad Bilal
Muhammad Hadi
Paweł Capik
Massimo Caputo
H. Vohra
Ala I. Al-Fuqaha
Junaid Qadir
27
6
0
25 Mar 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between
  Adversarial ML Research and Practice
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
Giovanni Apruzzese
Hyrum S. Anderson
Savino Dambra
D. Freeman
Fabio Pierazzi
Kevin A. Roundy
AAML
27
75
0
29 Dec 2022
GAN-based Medical Image Small Region Forgery Detection via a Two-Stage
  Cascade Framework
GAN-based Medical Image Small Region Forgery Detection via a Two-Stage Cascade Framework
Jianyi Zhang
Xuanxi Huang
Yaqi Liu
Yuyang Han
Zixiao Xiang
GAN
MedIm
17
8
0
30 May 2022
The Security of Deep Learning Defences for Medical Imaging
The Security of Deep Learning Defences for Medical Imaging
Mosh Levy
Guy Amit
Yuval Elovici
Yisroel Mirsky
AAML
MedIm
33
9
0
21 Jan 2022
CT-SGAN: Computed Tomography Synthesis GAN
CT-SGAN: Computed Tomography Synthesis GAN
Ahmad Pesaranghader
Yiping Wang
Mohammad Havaei
GAN
MedIm
19
11
0
14 Oct 2021
Machine Learning based Medical Image Deepfake Detection: A Comparative
  Study
Machine Learning based Medical Image Deepfake Detection: A Comparative Study
Siddharth Solaiyappan
Yuxin Wen
AAML
MedIm
25
41
0
27 Sep 2021
Redatuming physical systems using symmetric autoencoders
Redatuming physical systems using symmetric autoencoders
P. Bharadwaj
Matthew T.C. Li
L. Demanet
12
4
0
05 Aug 2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing
  Imputation Perspective
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
Riqiang Gao
Yucheng Tang
Kaiwen Xu
Ho Hin Lee
S. Deppen
K. Sandler
P. Massion
Thomas A. Lasko
Yuankai Huo
Bennett A. Landman
12
10
0
25 Jul 2021
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
26
42
0
20 Jul 2021
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video
  Recognition Systems
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems
Shangyu Xie
Han Wang
Yu Kong
Yuan Hong
AAML
11
25
0
09 Jul 2021
The Threat of Offensive AI to Organizations
The Threat of Offensive AI to Organizations
Yisroel Mirsky
Ambra Demontis
J. Kotak
Ram Shankar
Deng Gelei
Liu Yang
X. Zhang
Wenke Lee
Yuval Elovici
Battista Biggio
25
81
0
30 Jun 2021
IPatch: A Remote Adversarial Patch
IPatch: A Remote Adversarial Patch
Yisroel Mirsky
AAML
6
12
0
30 Apr 2021
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
Neal Mangaokar
Jiameng Pu
P. Bhattacharya
Chandan K. Reddy
Bimal Viswanath
AAML
MedIm
14
26
0
05 Apr 2021
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative
  Adversarial Network
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network
Jayalakshmi Mangalagiri
David Chapman
A. Gangopadhyay
Y. Yesha
Joshua Galita
Sumeet Menon
Yelena Yesha
Babak Saboury
Michael Morris
Phuong Nguyen
3DPC
MedIm
13
6
0
02 Apr 2021
Thinking Out of the Blocks: Holochain for Distributed Security in IoT
  Healthcare
Thinking Out of the Blocks: Holochain for Distributed Security in IoT Healthcare
S. Zaman
Muhammad R. A. Khandaker
R. T. Khan
Faisal Tariq
Kai‐Kit Wong
12
39
0
01 Mar 2021
Epidemic? The Attack Surface of German Hospitals during the COVID-19
  Pandemic
Epidemic? The Attack Surface of German Hospitals during the COVID-19 Pandemic
Johannes Klick
R. Koch
Thomas Brandstetter
6
7
0
20 Jan 2021
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19
  Diagnosis at the Edge
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
A. Qayyum
Kashif Ahmad
Muhammad Ahtazaz Ahsan
Ala I. Al-Fuqaha
Junaid Qadir
FedML
12
187
0
19 Jan 2021
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without
  Sharing Private Information
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information
Qi Chang
Zhennan Yan
L. Baskaran
Hui Qu
Yikai Zhang
Tong Zhang
Shaoting Zhang
Dimitris N. Metaxas
MedIm
13
12
0
15 Dec 2020
Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems
Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems
Akm Iqtidar Newaz
Nur Imtiazul Haque
A. Sikder
M. Rahman
A. S. Uluagac
AAML
33
72
0
07 Oct 2020
Biocybersecurity -- A Converging Threat as an Auxiliary to War
Biocybersecurity -- A Converging Threat as an Auxiliary to War
Lucas Potter
Orlando Ayala
X. Palmer
6
7
0
01 Oct 2020
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable
  in Machine Learning and Deep Learning
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
Parnian Afshar
Shahin Heidarian
Nastaran Enshaei
F. Naderkhani
M. Rafiee
A. Oikonomou
Faranak Babaki Fard
K. Samimi
Konstantinos N. Plataniotis
Arash Mohammadi
OOD
9
4
0
28 Sep 2020
Artificial Intelligence in Surgery: Neural Networks and Deep Learning
Artificial Intelligence in Surgery: Neural Networks and Deep Learning
Deepak Alapatt
Pietro Mascagni
V. Srivastav
N. Padoy
AI4CE
30
2
0
28 Sep 2020
MeDaS: An open-source platform as service to help break the walls
  between medicine and informatics
MeDaS: An open-source platform as service to help break the walls between medicine and informatics
Liang Zhang
Johann Li
Ping Li
Xiaoyuan Lu
Peiyi Shen
Guangming Zhu
Syed Afaq Ali Shah
Bennamoun
Kun Qian
Björn W. Schuller
MedIm
10
6
0
12 Jul 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator
  GAN Without Sharing Medical Image Data
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
Qi Chang
Hui Qu
Yikai Zhang
M. Sabuncu
Chao Chen
Tong Zhang
Dimitris N. Metaxas
MedIm
15
78
0
29 May 2020
Medical Image Generation using Generative Adversarial Networks
Medical Image Generation using Generative Adversarial Networks
N. Singh
Khalid Raza
GAN
MedIm
6
20
0
19 May 2020
A New Methodology for Information Security Risk Assessment for Medical
  Devices and Its Evaluation
A New Methodology for Information Security Risk Assessment for Medical Devices and Its Evaluation
Tom Mahler
Yuval Elovici
Yuval Shahar
8
11
0
17 Feb 2020
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
20
1,368
0
19 Sep 2018
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