Privacy-preserving artificial intelligence in healthcare: Techniques and applications

Efficient privacy-preserving whole-genome variant queries

(2022) Mete Akgün et al.   BIOINFORMATICS

Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML

(2022) Raihan Ur Rasool et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Making federated learning robust to adversarial attacks by learning data and model association

(2022) Adnan Qayyum et al.   COMPUTERS & SECURITY

Explainable, trustworthy, and ethical machine learning for healthcare: A survey

(2022) Khansa Rasheed et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study

(2022) Muhammad Atif Butt et al.   COMPUTERS & SECURITY

Cloud-IIoT-Based Electronic Health Record Privacy-Preserving by CNN and Blockchain-Enabled Federated Learning

(2022) Jafar A. Alzubi et al.   IEEE Transactions on Industrial Informatics

Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges

(2021) DonHee Lee et al.   International Journal of Environmental Research and Public Health

Privacy-Preserving Federated Learning in Medical Diagnosis with Homomorphic Re-Encryption

(2021) Hanchao Ku et al.   COMPUTER STANDARDS & INTERFACES

Highly accurate protein structure prediction with AlphaFold

(2021) John Jumper et al.   NATURE

Medical imaging deep learning with differential privacy

(2021) Alexander Ziller et al.   Scientific Reports

Differential Privacy for Industrial Internet of Things: Opportunities, Applications, and Challenges

(2021) Bin Jiang et al.   IEEE Internet of Things Journal

Dynamic time warping approach for optimized locomotor impairment detection using biomedical signal processing

(2021) Subhrangshu Adhikary et al.   Biomedical Signal Processing and Control

Privacy preservation in federated learning: An insightful survey from the GDPR perspective

(2021) Nguyen Truong et al.   COMPUTERS & SECURITY

Achieving security and privacy in federated learning systems: Survey, research challenges and future directions

(2021) Alberto Blanco-Justicia et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Membership inference attacks against synthetic health data

(2021) Ziqi Zhang et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Secret Sharing-based Personal Health Records Management for the Internet of Health Things

(2021) Parsa Sarosh et al.   Sustainable Cities and Society

Applying Deep Neural Networks over Homomorphic Encrypted Medical Data

(2020) Anamaria Vizitiu et al.   Computational and Mathematical Methods in Medicine

Privacy-preserving time series medical images analysis using a hybrid deep learning framework

(2020) Zijie Yue et al.   ACM Transactions on Internet Technology

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data

(2020) Micah J. Sheller et al.   Scientific Reports

Security and Privacy in IoT-Cloud-Based e-Health Systems—A Comprehensive Review

(2020) Chanapha Butpheng et al.   Symmetry-Basel

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology

(2020) Elysse Tom et al.   Translational Vision Science & Technology

Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results

(2020) Xiaoxiao Li et al.   MEDICAL IMAGE ANALYSIS

Utilization of secret sharing technology for secure communication: a state-of-the-art review

(2020) Parsa Sarosh et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A survey on security and privacy of federated learning

(2020) Viraaji Mothukuri et al.   Future Generation Computer Systems-The International Journal of eScience

Adversarial Examples—Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices

(2020) Abdur Rahman et al.   IEEE Internet of Things Journal

Privacy-Preserving Machine Learning: Threats and Solutions

(2019) Mohammad Al-Rubaie et al.   IEEE SECURITY & PRIVACY

Privacy-preserving self-serviced medical diagnosis scheme based on secure multi-party computation

(2019) Dong Li et al.   COMPUTERS & SECURITY

On the Reconstruction of Face Images from Deep Face Templates

(2018) Guangcan Mai et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Federated learning of predictive models from federated Electronic Health Records

(2018) Theodora S. Brisimi et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

A graph-based approach to ememes identification and tracking in Social Media streams

(2018) Ekaterina Shabunina et al.   KNOWLEDGE-BASED SYSTEMS

PYGRID: A software development and assessment framework for grid-aware software defined networking

(2018) Mohamed Samir et al.   International Journal of Network Management

Blockchain and IoT Integration: A Systematic Survey

(2018) Alfonso Panarello et al.   SENSORS

Big Data Analytics for Genomic Medicine

(2017) Karen He et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Security Techniques for the Electronic Health Records

(2017) Clemens Scott Kruse et al.   JOURNAL OF MEDICAL SYSTEMS

Blockchain distributed ledger technologies for biomedical and health care applications

(2017) Tsung-Ting Kuo et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

For Telehealth To Succeed, Privacy And Security Risks Must Be Identified And Addressed

(2014) Joseph L. Hall et al.   HEALTH AFFAIRS

Security of Electronic Medical Information and Patient Privacy: What You Need to Know

(2014) Katherine P. Andriole   Journal of the American College of Radiology

Utility-Privacy Tradeoffs in Databases: An Information-Theoretic Approach

(2013) Lalitha Sankar et al.   IEEE Transactions on Information Forensics and Security

Privacy-Preserving ECG Classification With Branching Programs and Neural Networks

(2011) Mauro Barni et al.   IEEE Transactions on Information Forensics and Security

The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online

(2010) Gaurav Bansal et al.   DECISION SUPPORT SYSTEMS