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Secure and Robust Machine Learning for Healthcare: A Survey

Secure and Robust Machine Learning for Healthcare: A Survey

IEEE Reviews in Biomedical Engineering (RBME), 2020
21 January 2020
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
    AAMLOOD
ArXiv (abs)PDFHTML

Papers citing "Secure and Robust Machine Learning for Healthcare: A Survey"

50 / 81 papers shown
Adapting Vision-Language Models Without Labels: A Comprehensive Survey
Adapting Vision-Language Models Without Labels: A Comprehensive Survey
Hao Dong
Lijun Sheng
Jian Liang
Ran He
Eleni Chatzi
Olga Fink
OffRLVLM
270
5
0
07 Aug 2025
CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation
CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation
Farheen Ramzan
Yusuf Kiberu
Nikesh Jathanna
Shahnaz Jamil-Copley
Richard H. Clayton
C. L. Philip Chen
MedIm
309
1
0
18 Jun 2025
AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach
AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving ApproachInternational Conference on Computing, Networking and Communications (ICNC), 2025
Al Amin
Kamrul Hasan
Sharif Ullah
Liang Hong
233
2
0
28 Jan 2025
Towards Fast Safe Online Reinforcement Learning via Policy Finetuning
Towards Fast Safe Online Reinforcement Learning via Policy Finetuning
Keru Chen
Honghao Wei
Zhigang Deng
Sen Lin
OffRLOnRL
490
1
0
05 Dec 2024
In-depth Analysis of Privacy Threats in Federated Learning for Medical
  Data
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data
B. Das
M. H. Amini
Yanzhao Wu
208
2
0
27 Sep 2024
Prediction and Detection of Terminal Diseases Using Internet of Medical
  Things: A Review
Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review
Akeem Temitope Otapo
Alice Othmani
G. Khodabandelou
Zuheng Ming
169
7
0
22 Sep 2024
Efficacy of Synthetic Data as a Benchmark
Efficacy of Synthetic Data as a Benchmark
Gaurav Maheshwari
Dmitry Ivanov
Kevin El Haddad
SyDa
250
28
0
18 Sep 2024
Automated Machine Learning in Insurance
Automated Machine Learning in InsuranceInsurance, Mathematics & Economics (IME), 2024
Panyi Dong
Zhiyu Quan
OffRL
256
6
0
26 Aug 2024
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks
Securing Distributed Network Digital Twin Systems Against Model Poisoning Attacks
Zifan Zhang
Minghong Fang
Mingzhe Chen
Gaolei Li
Xi Lin
Yuchen Liu
AAML
358
9
0
02 Jul 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Somnath Basu Roy Chowdhury
Krzysztof Choromanski
Arijit Sehanobish
Avinava Dubey
Snigdha Chaturvedi
MU
328
26
0
24 Jun 2024
Unlocking the Potential of Metaverse in Innovative and Immersive Digital
  Health
Unlocking the Potential of Metaverse in Innovative and Immersive Digital Health
Fatemeh Ebrahimzadeh
Ramin Safa
152
1
0
11 Jun 2024
Mapping Wireless Networks into Digital Reality through Joint Vertical
  and Horizontal Learning
Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning
Zifan Zhang
Mingzhe Chen
Zhaohui Yang
Yuchen Liu
242
7
0
22 Apr 2024
Robust EEG-based Emotion Recognition Using an Inception and Two-sided
  Perturbation Model
Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model
Shadi Sartipi
Müjdat Çetin
149
0
0
21 Apr 2024
Integration of Federated Learning and Blockchain in Healthcare: A
  Tutorial
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
Yahya Shahsavari
O. A. Dambri
Yaser Baseri
A. Hafid
Dimitrios Makrakis
OOD
374
12
0
15 Apr 2024
Foundation Model for Advancing Healthcare: Challenges, Opportunities,
  and Future Directions
Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future DirectionsIEEE Reviews in Biomedical Engineering (RBME), 2024
Yuting He
Fuxiang Huang
Xinrui Jiang
Yuxiang Nie
Minghao Wang
Jiguang Wang
Hao Chen
LM&MAAI4CE
435
121
0
04 Apr 2024
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
518
31
0
05 Mar 2024
Evaluation of Predictive Reliability to Foster Trust in Artificial
  Intelligence. A case study in Multiple Sclerosis
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis
Lorenzo Peracchio
G. Nicora
Enea Parimbelli
T. M. Buonocore
Roberto Bergamaschi
Eleonora Tavazzi
A. Dagliati
Riccardo Bellazzi
305
3
0
27 Feb 2024
Review of multimodal machine learning approaches in healthcare
Review of multimodal machine learning approaches in healthcare
"Felix H. Krones
Umar Marikkar
Guy Parsons
Adam Szmul
Adam Mahdi
475
134
0
04 Feb 2024
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic
  Architectures against Model Inversion Attacks
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks
Hamed Poursiami
Ihsen Alouani
Maryam Parsa
AAML
286
7
0
01 Feb 2024
Machine Learning for Healthcare-IoT Security: A Review and Risk
  Mitigation
Machine Learning for Healthcare-IoT Security: A Review and Risk MitigationIEEE Access (IEEE Access), 2024
Mirza Akhi Khatun
S. Memon
Ciarán Eising
L. L. Dhirani
223
67
0
17 Jan 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
SwitchTab: Switched Autoencoders Are Effective Tabular LearnersAAAI Conference on Artificial Intelligence (AAAI), 2024
Jing Wu
Suiyao Chen
Qi Zhao
Renat Sergazinov
Chen Li
...
Tianpei Xie
Hanqing Guo
Cheng Ji
Daniel Cociorva
Hakan Brunzel
SSL
324
59
0
04 Jan 2024
Survival Analysis with Adversarial Regularization
Survival Analysis with Adversarial Regularization
Owen Howell
Stefano Maxenti
Michael Everett
AAML
547
0
0
26 Dec 2023
Improving Adversarial Transferability via Model Alignment
Improving Adversarial Transferability via Model AlignmentEuropean Conference on Computer Vision (ECCV), 2023
A. Ma
Amir-massoud Farahmand
Yangchen Pan
Juil Sock
Jindong Gu
AAML
482
13
0
30 Nov 2023
Machine Learning For An Explainable Cost Prediction of Medical Insurance
Machine Learning For An Explainable Cost Prediction of Medical InsuranceMachine Learning with Applications (MLWA), 2023
U. Orji
Elochukwu A. Ukwandu
355
55
0
23 Nov 2023
MedISure: Towards Assuring Machine Learning-based Medical Image
  Classifiers using Mixup Boundary Analysis
MedISure: Towards Assuring Machine Learning-based Medical Image Classifiers using Mixup Boundary AnalysisIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Adam Byfield
William Poulett
Ben Wallace
Anusha Jose
Shatakshi Tyagi
Smita Shembekar
Adnan Qayyum
Junaid Qadir
Muhammad Bilal
191
0
0
23 Nov 2023
ReConTab: Regularized Contrastive Representation Learning for Tabular
  Data
ReConTab: Regularized Contrastive Representation Learning for Tabular Data
Suiyao Chen
Jing Wu
N. Hovakimyan
Handong Yao
341
43
0
28 Oct 2023
Interpretable Predictive Models to Understand Risk Factors for Maternal
  and Fetal Outcomes
Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes
Tomas M. Bosschieter
Zifei Xu
Hui Lan
Benjamin J. Lengerich
Harsha Nori
Ian Painter
Vivienne Souter
Rich Caruana
160
16
0
16 Oct 2023
Histopathological Image Classification and Vulnerability Analysis using
  Federated Learning
Histopathological Image Classification and Vulnerability Analysis using Federated LearningInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2023
Sankalp Vyas
Amar Nath Patra
R. Shukla
269
8
0
11 Oct 2023
Ensemble-based Hybrid Optimization of Bayesian Neural Networks and
  Traditional Machine Learning Algorithms
Ensemble-based Hybrid Optimization of Bayesian Neural Networks and Traditional Machine Learning Algorithms
Peiwen Tan
BDL
274
2
0
09 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as
  an Ally
Adversarial Machine Learning for Social Good: Reframing the Adversary as an AllyIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Shawqi Al-Maliki
Adnan Qayyum
Hassan Ali
M. Abdallah
Junaid Qadir
D. Hoang
Dusit Niyato
Ala I. Al-Fuqaha
AAML
404
7
0
05 Oct 2023
Review of deep learning in healthcare
Review of deep learning in healthcare
Hasan Hejbari Zargar
Saha Hejbari Zargar
Raziye Mehri
242
3
0
01 Oct 2023
Axiomatic Aggregations of Abductive Explanations
Axiomatic Aggregations of Abductive ExplanationsAAAI Conference on Artificial Intelligence (AAAI), 2023
Gagan Biradar
Yacine Izza
Elita Lobo
Vignesh Viswanathan
Yair Zick
FAtt
511
11
0
29 Sep 2023
Privacy Preservation in Artificial Intelligence and Extended Reality
  (AI-XR) Metaverses: A Survey
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A SurveyJournal of Network and Computer Applications (JNCA), 2023
Mahdi Alkaeed
Adnan Qayyum
Junaid Qadir
393
43
0
19 Sep 2023
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture
  for Privacy-Preserving and Efficient IoT Data Analytics Using Federated
  Learning
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated LearningInternational Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES), 2023
Safa Ben Atitallah
Maha Driss
Henda Ben Ghézala
189
8
0
27 Aug 2023
Toward Generalizable Machine Learning Models in Speech, Language, and
  Hearing Sciences: Estimating Sample Size and Reducing Overfitting
Toward Generalizable Machine Learning Models in Speech, Language, and Hearing Sciences: Estimating Sample Size and Reducing OverfittingJournal of Speech, Language and Hearing Research (JSLHR), 2023
Hamzeh Ghasemzadeh
Robert E. Hillman
Daryush D. Mehta
267
30
0
22 Aug 2023
Understanding the robustness difference between stochastic gradient
  descent and adaptive gradient methods
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods
A. Ma
Yangchen Pan
Amir-massoud Farahmand
AAML
323
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0
13 Aug 2023
FUTURE-AI: International consensus guideline for trustworthy and
  deployable artificial intelligence in healthcare
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcareBritish medical journal (BMJ), 2023
Karim Lekadir
Aasa Feragen
Abdul Joseph Fofanah
Alejandro F Frangi
Alena Buyx
...
Yi Zeng
Yunusa G Mohammed
Yves Saint James Aquino
Zohaib Salahuddin
M. P. Starmans
AI4TS
429
312
0
11 Aug 2023
Membership Inference Attacks on DNNs using Adversarial Perturbations
Membership Inference Attacks on DNNs using Adversarial Perturbations
Hassan Ali
Adnan Qayyum
Ala I. Al-Fuqaha
Junaid Qadir
AAML
342
3
0
11 Jul 2023
Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data
Robust Surgical Tools Detection in Endoscopic Videos with Noisy Data
Adnan Qayyum
Hassan Ali
Massimo Caputo
H. Vohra
Taofeek Akinosho
Sofiat Abioye
Ilhem Berrou
Paweł Capik
Junaid Qadir
Muhammad Bilal
277
0
0
03 Jul 2023
Interpretable Medical Diagnostics with Structured Data Extraction by
  Large Language Models
Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models
Aleksa Bisercic
Mladen Nikolic
M. Schaar
Boris Delibasic
Pietro Lio
Andrija Petrović
262
27
0
08 Jun 2023
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep
  Staging
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging
E. Heremans
Nabeel Seedat
B. Buyse
D. Testelmans
M. Schaar
Marina De Vos
228
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07 Jun 2023
In the Name of Fairness: Assessing the Bias in Clinical Record
  De-identification
In the Name of Fairness: Assessing the Bias in Clinical Record De-identificationConference on Fairness, Accountability and Transparency (FAccT), 2023
Yuxin Xiao
S. Lim
Tom Pollard
Marzyeh Ghassemi
281
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18 May 2023
MLHOps: Machine Learning for Healthcare Operations
MLHOps: Machine Learning for Healthcare Operations
Kristoffer Larsen
Vallijah Subasri
A. Krishnan
Cláudio Tinoco Mesquita
Diana Paez
Laleh Seyyed-Kalantari
Amalia Peix
LM&MAAI4TSVLM
300
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0
04 May 2023
Learnability, Sample Complexity, and Hypothesis Class Complexity for
  Regression Models
Learnability, Sample Complexity, and Hypothesis Class Complexity for Regression Models
S. Beheshti
Mahdi Shamsi
141
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Privacy-preserving machine learning for healthcare: open challenges and
  future perspectives
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Alejandro Guerra-Manzanares
L. J. L. Lopez
Michail Maniatakos
Farah E. Shamout
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Can We Revitalize Interventional Healthcare with AI-XR Surgical
  Metaverses?
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Paweł Capik
Massimo Caputo
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Introduction to Machine Learning for Physicians: A Survival Guide for
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Realization of Causal Representation Learning to Adjust Confounding Bias
  in Latent Space
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Federated Learning for Healthcare Domain - Pipeline, Applications and
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Try to Avoid Attacks: A Federated Data Sanitization Defense for
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