On the public citation graph
Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions
0 signed · 178 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2016.17216openalex-snapshot
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
inferredcites →https://doi.org/10.1002/ett.3957openalex-snapshot
Privacy‐preserving multisource transfer learning in intrusion detection system
inferredcites →https://doi.org/10.1002/ett.4360openalex-snapshot
Blockchain and artificial intelligence enabled privacy‐preserving medical data transmission in Internet of Things
inferredcites →https://doi.org/10.1002/int.22241openalex-snapshot
PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing
inferredcites →https://doi.org/10.1002/jmri.26534openalex-snapshot
Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI
inferredcites →https://doi.org/10.1002/wics.1549openalex-snapshot
Challenges and opportunities beyond structured data in analysis of electronic health records
inferredcites →https://doi.org/10.1007/3-540-48910-x_16openalex-snapshot
Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
inferredcites →https://doi.org/10.1007/978-0-387-70992-5openalex-snapshot
Privacy-Preserving Data Mining: Models and Algorithms
inferredcites →https://doi.org/10.1007/978-3-030-27844-1_5openalex-snapshot
Toward Uniform Smart Healthcare Ecosystems: A Survey on Prospects, Security, and Privacy Considerations
inferredcites →https://doi.org/10.1007/978-3-030-28954-6_7openalex-snapshot
Towards Reverse-Engineering Black-Box Neural Networks
inferredcites →https://doi.org/10.1007/978-3-030-30619-9_4openalex-snapshot
A Survey on Deep Learning Techniques for Privacy-Preserving
inferredcites →https://doi.org/10.1007/978-3-642-40994-3_25openalex-snapshot
Evasion Attacks against Machine Learning at Test Time
inferredcites →https://doi.org/10.1007/978-981-10-5421-1_9openalex-snapshot
Privacy-Preserving Deep Learning: Revisited and Enhanced
inferredcites →https://doi.org/10.1007/978-981-13-1071-3_10openalex-snapshot
Machine Learning Approaches: Data Integration for Disease Prediction and Prognosis
inferredcites →https://doi.org/10.1007/s10489-015-0671-0openalex-snapshot
Privacy preservation through a greedy, distortion-based rule-hiding method
inferredcites →https://doi.org/10.1007/s10916-016-0446-0openalex-snapshot
Differential Privacy Preserving in Big Data Analytics for Connected Health
inferredcites →https://doi.org/10.1007/s10922-021-09609-5openalex-snapshot
A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems
inferredcites →https://doi.org/10.1007/s10994-017-5656-2openalex-snapshot
Preserving differential privacy in convolutional deep belief networks
inferredcites →https://doi.org/10.1007/s11414-013-9386-3openalex-snapshot
The Role of Lean Process Improvement in Implementation of Evidence-Based Practices in Behavioral Health Care
inferredcites →https://doi.org/10.1007/s11633-018-1136-9openalex-snapshot
Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey
inferredcites →https://doi.org/10.1007/s12083-021-01076-8openalex-snapshot
Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities
inferredcites →https://doi.org/10.1007/s12553-022-00640-3openalex-snapshot
Privacy-preserving deep learning for pervasive health monitoring: a study of environment requirements and existing solutions adequacy
inferredcites →https://doi.org/10.1016/b978-0-12-823014-5.00006-5openalex-snapshot
Deep convolutional neural network in medical image processing
inferredcites →https://doi.org/10.1016/j.cels.2020.03.006openalex-snapshot
Privacy-Preserving Biomedical Database Queries with Optimal Privacy-Utility Trade-Offs
inferredcites →https://doi.org/10.1016/j.comnet.2010.05.003openalex-snapshot
Wireless sensor networks for healthcare: A survey
inferredcites →https://doi.org/10.1016/j.cose.2019.06.012openalex-snapshot
Secure deep neural networks using adversarial image generation and training with Noise-GAN
inferredcites →https://doi.org/10.1016/j.eng.2021.12.002openalex-snapshot
Federated Learning for 6G: Applications, Challenges, and Opportunities
inferredcites →https://doi.org/10.1016/j.engappai.2016.07.003openalex-snapshot
Fast algorithms for hiding sensitive high-utility itemsets in privacy-preserving utility mining
inferredcites →https://doi.org/10.1016/j.future.2017.03.018openalex-snapshot
Hybrid privacy-preserving clinical decision support system in fog–cloud computing
inferredcites →https://doi.org/10.1016/j.future.2021.08.028openalex-snapshot
Reliable customer analysis using federated learning and exploring deep-attention edge intelligence
inferredcites →https://doi.org/10.1016/j.ijmedinf.2016.09.014openalex-snapshot
A machine learning-based framework to identify type 2 diabetes through electronic health records
inferredcites →https://doi.org/10.1016/j.inffus.2018.02.008openalex-snapshot
Utility-preserving privacy protection of nominal data sets via semantic rank swapping
inferredcites →https://doi.org/10.1016/j.jcss.2017.03.001openalex-snapshot
Privacy-preserving anomaly detection in cloud with lightweight homomorphic encryption
inferredcites →https://doi.org/10.1016/j.jksuci.2015.10.001openalex-snapshot
Privacy preserving cloud computation using Domingo-Ferrer scheme
inferredcites →https://doi.org/10.1016/j.knosys.2017.01.032openalex-snapshot
A semantic framework for noise addition with nominal data
inferredcites →https://doi.org/10.1016/j.neucom.2016.12.038openalex-snapshot
A survey of deep neural network architectures and their applications
inferredcites →https://doi.org/10.1016/j.neucom.2019.07.039openalex-snapshot
Privacy-preserving lightweight face recognition
inferredcites →https://doi.org/10.1016/j.neucom.2019.10.085openalex-snapshot
Anatomical context protects deep learning from adversarial perturbations in medical imaging
inferredcites →https://doi.org/10.1016/j.neucom.2019.11.041openalex-snapshot
A review of privacy-preserving techniques for deep learning
inferredcites →https://doi.org/10.1016/j.procs.2017.09.150openalex-snapshot
An Efficient Homomorphic Medical Image Encryption Algorithm For Cloud Storage Security
inferredcites →https://doi.org/10.1016/j.smhl.2021.100221openalex-snapshot
Deep learning in pervasive health monitoring, design goals, applications, and architectures: An overview and a brief synthesis
inferredcites →https://doi.org/10.1038/nature21056openalex-snapshot
Dermatologist-level classification of skin cancer with deep neural networks
inferredcites →https://doi.org/10.1038/s41598-020-61705-9openalex-snapshot
Retrospective Motion Correction in Multishot MRI using Generative Adversarial Network
inferredcites →https://doi.org/10.1038/s41746-020-00323-1openalex-snapshot
The future of digital health with federated learning
inferredcites →https://doi.org/10.1038/s41746-021-00489-2openalex-snapshot
Privacy-first health research with federated learning
inferredcites →https://doi.org/10.1093/bib/bbx044openalex-snapshot
Deep learning for healthcare: review, opportunities and challenges
inferredcites →https://doi.org/10.1109/access.2014.2362522openalex-snapshot
Information Security in Big Data: Privacy and Data Mining
inferredcites →https://doi.org/10.1109/access.2018.2866971openalex-snapshot
A Privacy-Preserving Online Medical Prediagnosis Scheme for Cloud Environment
inferredcites →https://doi.org/10.1109/access.2020.3045078openalex-snapshot
Privacy and Security Issues in Deep Learning: A Survey
inferredcites →https://doi.org/10.1109/cbi.2013.22openalex-snapshot
Secret Sharing for Health Data in Multi-provider Clouds
inferredcites →https://doi.org/10.1109/cesys.2016.7889823openalex-snapshot
A comprehensive survey of security mechanisms in healthcare applications
inferredcites →https://doi.org/10.1109/cit.2014.135openalex-snapshot
A Review on Privacy-Preserving Data Mining
inferredcites →https://doi.org/10.1109/cloud.2016.0084openalex-snapshot
Practical Privacy-Preserving Medical Diagnosis Using Homomorphic Encryption
inferredcites →https://doi.org/10.1109/comst.2019.2914094openalex-snapshot
Security Vulnerabilities, Attacks, Countermeasures, and Regulations of Networked Medical Devices—A Review
inferredcites →https://doi.org/10.1109/comst.2021.3090430openalex-snapshot
Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
inferredcites →https://doi.org/10.1109/cvpr.2019.00509openalex-snapshot
Knockoff Nets: Stealing Functionality of Black-Box Models
inferredcites →https://doi.org/10.1109/dsc.2018.00104openalex-snapshot
A Survey on Collaborative Deep Learning and Privacy-Preserving
inferredcites →https://doi.org/10.1109/eesco.2015.7254044openalex-snapshot
Contemporary trends in privacy preserving collaborative data mining- A survey
inferredcites →https://doi.org/10.1109/eurosp.2019.00044openalex-snapshot
PRADA: Protecting Against DNN Model Stealing Attacks
inferredcites →https://doi.org/10.1109/gmepe-pahce.2018.8400769openalex-snapshot
Reliability of medical databases for the use of real word data and data mining techniques for cardiovascular diseases progression in diabetic patients
inferredcites →https://doi.org/10.1109/iccct.2012.15openalex-snapshot
Privacy Preserving Data Mining Techniques: Current Scenario and Future Prospects
inferredcites →https://doi.org/10.1109/icde11332.2006openalex-snapshot
2007 IEEE 23rd International Conference on Data Engineering
inferredcites →https://doi.org/10.1109/icdmw.2016.0041openalex-snapshot
Medical Image Denoising Using Convolutional Denoising Autoencoders
inferredcites →https://doi.org/10.1109/icdmw.2018.00208openalex-snapshot
PPSF: An Open-Source Privacy-Preserving and Security Mining Framework
inferredcites →https://doi.org/10.1109/icip.2018.8451379openalex-snapshot
Brain Tumor Type Classification via Capsule Networks
inferredcites →https://doi.org/10.1109/itc-cscc52171.2021openalex-snapshot
2021 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
inferredcites →https://doi.org/10.1109/jbhi.2014.2344095openalex-snapshot
Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare
inferredcites →https://doi.org/10.1109/jbhi.2016.2636665openalex-snapshot
Deep Learning for Health Informatics
inferredcites →https://doi.org/10.1109/jiot.2020.3032896openalex-snapshot
Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments
inferredcites →https://doi.org/10.1109/memea.2019.8802193openalex-snapshot
Towards Privacy-Preserving Deep Learning based Medical Imaging Applications
inferredcites →https://doi.org/10.1109/mnet.2018.1700447openalex-snapshot
Privacy in Neural Network Learning: Threats and Countermeasures
inferredcites →https://doi.org/10.1109/msec.2018.2888775openalex-snapshot
Privacy-Preserving Machine Learning: Threats and Solutions
inferredcites →https://doi.org/10.1109/msec.2019.2935666openalex-snapshot
Deep Learning on Private Data
inferredcites →https://doi.org/10.1109/nbis15970.2009openalex-snapshot
2009 International Conference on Network-Based Information Systems
inferredcites →https://doi.org/10.1109/rbme.2020.3013489openalex-snapshot
Secure and Robust Machine Learning for Healthcare: A Survey
inferredcites →https://doi.org/10.1109/sfcs.1986.25openalex-snapshot
How to generate and exchange secrets
inferredcites →https://doi.org/10.1109/sp.2017.41openalex-snapshot
Membership Inference Attacks Against Machine Learning Models
inferredcites →https://doi.org/10.1109/tc.2015.2470255openalex-snapshot
Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning
inferredcites →https://doi.org/10.1109/tifs.2011.2108650openalex-snapshot
Privacy-Preserving ECG Classification With Branching Programs and Neural Networks
inferredcites →https://doi.org/10.1109/tifs.2019.2925496openalex-snapshot
Secure and Differentially Private Logistic Regression for Horizontally Distributed Data
inferredcites →https://doi.org/10.1109/tit.1985.1057074openalex-snapshot
A public key cryptosystem and a signature scheme based on discrete logarithms
inferredcites →https://doi.org/10.1109/tmi.2017.2715284openalex-snapshot
Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network
inferredcites →https://doi.org/10.1109/tnnls.2019.2933524openalex-snapshot
Adversarial Examples: Opportunities and Challenges
inferredcites →https://doi.org/10.1109/tpds.2021.3129612openalex-snapshot
Secure Deep Neural Network Models Publishing Against Membership Inference Attacks Via Training Task Parallelism
inferredcites →https://doi.org/10.1109/tvt.2020.2977378openalex-snapshot
Poisoning and Evasion Attacks Against Deep Learning Algorithms in Autonomous Vehicles
inferredcites →https://doi.org/10.1111/exsy.12879openalex-snapshot
Optimal multiple key‐based homomorphic encryption with deep neural networks to secure medical data transmission and diagnosis
inferredcites →https://doi.org/10.1126/science.aaw4399openalex-snapshot
Adversarial attacks on medical machine learning
inferredcites →https://doi.org/10.1136/svn-2017-000101openalex-snapshot
Artificial intelligence in healthcare: past, present and future
inferredcites →https://doi.org/10.1142/s0218488502001648openalex-snapshot
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
inferredcites →https://doi.org/10.1145/2382196.2382279openalex-snapshot
Foundations of garbled circuits
inferredcites →https://doi.org/10.1145/2667218openalex-snapshot
Security challenges for medical devices
inferredcites →https://doi.org/10.1145/2810103.2813677openalex-snapshot
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
inferredcites →https://doi.org/10.1145/2818000.2818027openalex-snapshot
Combining Differential Privacy and Secure Multiparty Computation
inferredcites →https://doi.org/10.1145/3128572.3140447openalex-snapshot
Robust Linear Regression Against Training Data Poisoning
inferredcites →https://doi.org/10.1145/3132847.3132990openalex-snapshot
Privacy-Preserving Collaborative Deep Learning with Application to Human Activity Recognition
inferredcites →https://doi.org/10.1145/3133956.3134056openalex-snapshot
Oblivious Neural Network Predictions via MiniONN Transformations
inferredcites →https://doi.org/10.1145/3243734.3243837openalex-snapshot
Secure Outsourced Matrix Computation and Application to Neural Networks
inferredcites →https://doi.org/10.1145/3319535.3354261openalex-snapshot
Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment
inferredcites →https://doi.org/10.1145/3338501.3357370openalex-snapshot
A Hybrid Approach to Privacy-Preserving Federated Learning
inferredcites →https://doi.org/10.1145/3383779openalex-snapshot
Privacy-preserving Time-series Medical Images Analysis Using a Hybrid Deep Learning Framework
inferredcites →https://doi.org/10.1145/3394658openalex-snapshot
Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics
inferredcites →https://doi.org/10.1145/3408322openalex-snapshot
Privacy Protection for Medical Data Sharing in Smart Healthcare
inferredcites →https://doi.org/10.1145/974121.974131openalex-snapshot
State-of-the-art in privacy preserving data mining
inferredcites →https://doi.org/10.1155/2014/214841openalex-snapshot
Privacy-Preserving Self-Helped Medical Diagnosis Scheme Based on Secure Two-Party Computation in Wireless Sensor Networks
inferredcites →https://doi.org/10.1155/2014/235837openalex-snapshot
Reducing Side Effects of Hiding Sensitive Itemsets in Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1155/2020/8847487openalex-snapshot
An Efficient Outsourced Oblivious Transfer Extension Protocol and Its Applications
inferredcites →https://doi.org/10.1161/circoutcomes.118.005122openalex-snapshot
Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing
inferredcites →https://doi.org/10.14569/ijacsa.2019.0101239openalex-snapshot
Clustering based Privacy Preserving of Big Data using Fuzzification and Anonymization Operation
inferredcites →https://doi.org/10.14722/ndss.2018.23183openalex-snapshot
Knock Knock, Who's There? Membership Inference on Aggregate Location Data
inferredcites →https://doi.org/10.1515/cait-2017-0015openalex-snapshot
Partition Based Perturbation for Privacy Preserving Distributed Data Mining
inferredcites →https://doi.org/10.1515/popets-2016-0043openalex-snapshot
Privately Evaluating Decision Trees and Random Forests
inferredcites →https://doi.org/10.17485/ijst/2017/v10i5/111138openalex-snapshot
A Survey on Privacy Preserving Data Mining Techniques
inferredcites →https://doi.org/10.20368/1971-8829/1454openalex-snapshot
Preliminary Data Analysis in Healthcare Multicentric Data Mining: a Privacy-preserving Distributed Approach
inferredcites →https://doi.org/10.2196/14064openalex-snapshot
Privacy-Preserving Deep Learning for the Detection of Protected Health Information in Real-World Data: Comparative Evaluation
inferredcites →https://doi.org/10.2196/20891openalex-snapshot
Federated Learning on Clinical Benchmark Data: Performance Assessment
inferredcites →https://doi.org/10.2478/popets-2021-0064openalex-snapshot
SoK: Privacy-Preserving Computation Techniques for Deep Learning
inferredcites →https://doi.org/10.3233/thc-161263openalex-snapshot
Cybersecurity in healthcare: A systematic review of modern threats and trends
inferredcites →https://doi.org/10.3390/app9040774openalex-snapshot
A Grid-Based Swarm Intelligence Algorithm for Privacy-Preserving Data Mining
inferredcites →https://doi.org/10.3390/ijerph17051612openalex-snapshot
Privacy-Preserving Process Mining in Healthcare
inferredcites →https://doi.org/10.3390/molecules25225277openalex-snapshot
Machine Learning Methods in Drug Discovery
inferredcites →https://doi.org/10.3390/sym11070892openalex-snapshot
Selective Poisoning Attack on Deep Neural Networks †
inferredcites →https://doi.org/10.34028/iajit/17/1/7openalex-snapshot
Privacy-Preserving for Distributed Data Streams: Towards l-Diversity
inferredcites →https://doi.org/10.3929/ethz-b-000460348openalex-snapshot
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
inferredcites →https://doi.org/10.4018/978-1-7998-8954-0.ch059openalex-snapshot
Security and Privacy Challenges of Deep Learning
inferredcites →https://doi.org/10.4018/ijehmc.20211101.oa8openalex-snapshot
An Ensemble Random Forest Algorithm for Privacy Preserving Distributed Medical Data Mining
inferredcites →https://doi.org/10.4018/ijehmc.20211101oa06openalex-snapshot
An ensemble random forest algorithm for privacy preserving distributed medical data mining
inferredcites →https://doi.org/10.4314/ijonas.v5i1.49926openalex-snapshot
Data mining applications in healthcare
inferredcites →https://doi.org/10.48550/arxiv.1704.03578openalex-snapshot
A Survey on Homomorphic Encryption Schemes: Theory and Implementation
inferredcites →https://doi.org/10.48550/arxiv.1802.04889openalex-snapshot
Understanding Membership Inferences on Well-Generalized Learning Models
inferredcites →https://doi.org/10.5121/ijist.2016.6206openalex-snapshot
Survey of Data Mining Techniques used in Healthcare Domain
inferredcites →https://doi.org/10.5121/ijnsa.2014.6602openalex-snapshot
Privacy Preserving Naive Bayes Classifier for Horizontally Partitioned Data Using Secure Division
inferredcites →https://doi.org/10.5281/zenodo.7416977openalex-snapshot
SURVEY OF DATA MINING TECHNIQUES USED IN HEALTHCARE DOMAIN
inferredcites →https://doi.org/10.5958/0976-5506.2018.02199.xopenalex-snapshot
Review on Privacy Preserving of Medical Data in Cloud Computing System
inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 14
inferredcites →https://doi.org/10.7551/mitpress/12274.003.0047openalex-snapshot
A Method for Obtaining Digital Signatures and Public-Key Cryptosystems (1978)
inferredcites →https://doi.org/10.7939/r3344popenalex-snapshot
Data Perturbation by Rotation for Privacy-Preserving Clustering
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781394238033.ch5openalex-snapshot
Blockchain with Cloud Computing
inferred← citeshttps://doi.org/10.1002/widm.1515openalex-snapshot
Machine learning and blockchain technologies for cybersecurity in connected vehicles
inferred← citeshttps://doi.org/10.1007/978-3-031-85240-4_23openalex-snapshot
FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks Through RAG
inferred← citeshttps://doi.org/10.1007/978-3-032-00715-5_28openalex-snapshot
Enhancing Breast Cancer Detection Through Explainable Federated Learning Models
inferred← citeshttps://doi.org/10.1007/978-981-95-2398-6_16openalex-snapshot
SoK: A Systematic Review of Privacy and Security in Healthcare Robotics
inferred← citeshttps://doi.org/10.1007/978-981-96-2015-9_15openalex-snapshot
Privacy and Information Security for Sustainable Community Among TikTok’s Users
inferred← citeshttps://doi.org/10.1007/978-981-96-8799-2_33openalex-snapshot
Comparative Analysis of Privacy-Preserving Machine Learning Techniques for Indian Healthcare Data
inferred← citeshttps://doi.org/10.1007/s00500-025-11025-9openalex-snapshot
Privacy-preserving multi-class brain tumor classification using federated learning and deep capsule networks
inferred← citeshttps://doi.org/10.1007/s10207-025-01052-wopenalex-snapshot
Anonymous provision of privacy-sensitive services using blockchain and decentralised storage
inferred← citeshttps://doi.org/10.1007/s13369-024-09183-3openalex-snapshot
Evaluating Factors Influencing Learner Satisfaction in Massive Open Online Course Selection: A Data-Driven Approach Using Machine Learning
inferred← citeshttps://doi.org/10.1007/s41060-024-00633-7openalex-snapshot
Secure wireless sensor network transmission using reinforcement learning and homomorphic encryption
inferred← citeshttps://doi.org/10.1007/s42600-026-00466-2openalex-snapshot
Privacy-preserving healthcare prediction using synthetic patient data and fuzzy broad learning
inferred← citeshttps://doi.org/10.1109/access.2023.3285407openalex-snapshot
Enhancing Security and Privacy Preservation of Sensitive Information in e-Health Datasets Using FCA Approach
inferred← citeshttps://doi.org/10.1109/access.2024.3443520openalex-snapshot
Managing Distributed Machine Learning Lifecycle for Healthcare Data in the Cloud
inferred← citeshttps://doi.org/10.1109/compsac61105.2024.00309openalex-snapshot
SCAN: A HealthCare Personalized ChatBot with Federated Learning Based GPT
inferred← citeshttps://doi.org/10.1109/etecte59617.2023.10396794openalex-snapshot
A Secure BlockChain Based Application For Health Records
inferred← citeshttps://doi.org/10.1109/icacite57410.2023.10183287openalex-snapshot
Machine Learning for Privacy Preservation with Minimal Information Leakage
inferred← citeshttps://doi.org/10.1109/iciccs65191.2025.10984800openalex-snapshot
Privacy Preserving Machine Learning: Secure Training and Deployment of Models on Sensitive Data
inferred← citeshttps://doi.org/10.1109/icici65870.2025.11069705openalex-snapshot
MM-HealthGuard: Multimodal Deep Learning Framework $\eta_{\text {health }}$ for Real-Time Health Monitoring with Privacy-Preserved Stream Processing
inferred← citeshttps://doi.org/10.1109/icsit65336.2025.11294645openalex-snapshot
Integrating Machine Learning with Cloud Analytics for Data-Driven Healthcare and Optimized Patient Care
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3577604openalex-snapshot
Lightweight LLM-Based Anomaly Detection Framework for Securing IoTMD Enabled Diabetes Management Control Systems
inferred← citeshttps://doi.org/10.1109/pais60821.2023.10321979openalex-snapshot
Investigating Security and Privacy Concerns in Deep-Learning-based Pervasive Health Monitoring Architectures
inferred← citeshttps://doi.org/10.1142/s1793962324400014openalex-snapshot
PedFed: A performance evaluation-driven federated learning framework for efficient communication
inferred← citeshttps://doi.org/10.1177/14727978251375426openalex-snapshot
RETRACTED: Deep learning in physical education teaching mode based on the concept of flipped classroom
inferred← citeshttps://doi.org/10.3389/fdata.2025.1659026openalex-snapshot
EnDuSecFed: an ensemble approach for privacy preserving Federated Learning with dual-security framework for sustainable healthcare
inferred← citeshttps://doi.org/10.3389/fpsyt.2026.1871297openalex-snapshot
Exercise as a multimodal intervention for adolescent depression: integrating neuroplasticity, BDNF signaling, stress biomarkers, exercise intensity, digital mental health interventions, and precision psychiatry
inferred← citeshttps://doi.org/10.3390/a18120731openalex-snapshot
Privacy-Preserving Classification of Medical Tabular Data with Homomorphic Encryption
inferred← citeshttps://doi.org/10.3390/ijms26020477openalex-snapshot
Overview and Prospects of DNA Sequence Visualization
inferred← citeshttps://doi.org/10.3390/jcp3030030openalex-snapshot
Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review
inferred← citeshttps://doi.org/10.3390/jsan14010009openalex-snapshot
Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications
inferred← citeshttps://doi.org/10.38124/ijsrmt.v3i12.962openalex-snapshot
Differential Privacy and Federated Learning Models Ensuring HIPAA Compliant Data Sharing Across Hospital Electronic Health Record Networks
inferred← citeshttps://doi.org/10.4018/979-8-3373-6935-8.ch006openalex-snapshot
Safeguarding Data in Artificial Intelligence Systems
inferred← citeshttps://doi.org/10.4018/979-8-3373-7600-4.ch014openalex-snapshot
Blockchain-Enabled Security and Trust Models for the Internet of Medical Things (IoMT) in Modern Healthcare
inferred← citeshttps://doi.org/10.47577/technium.v12i.9471openalex-snapshot
A review of Deep Learning Privacy, Security and Defenses
inferred← citeshttps://doi.org/10.48084/etasr.7969openalex-snapshot
The Projection-Based Data Transformation Approach for Privacy Preservation in Data Mining
inferred← citeshttps://doi.org/10.56947/amcs.v26.439openalex-snapshot
Securing Machine Learning Models: Homomorphic Encryption and its impact on Classifiers
inferred← citeshttps://doi.org/10.61978/digitus.v3i2.881openalex-snapshot
Toward Resilient Networks: AI and Deep Learning Strategies for Intrusion Detection
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.