AIMC Topic: Privacy

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Enabling Artificial Intelligence of Things (AIoT) Healthcare Architectures and Listing Security Issues.

Computational intelligence and neuroscience Aug 3, 2022
A significant study has been undertaken in the areas of health care and administration of cutting-edge artificial intelligence (AI) technologies throughout the previous decade. Healthcare professionals studied smart gadgets and other medical technolo...
Delivery of Health Care Artificial Intelligence Algorithms Privacy Humans Computer Security
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Android Spyware Detection Using Machine Learning: A Novel Dataset.

Sensors (Basel, Switzerland) Aug 2, 2022
Smartphones are an essential part of all aspects of our lives. Socially, politically, and commercially, there is almost complete reliance on smartphones as a communication tool, a source of information, and for entertainment. Rapid developments in th...
Machine Learning Privacy Computer Security Smartphone Algorithms
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IoT Security and Computation Management on a Multi-Robot System for Rescue Operations Based on a Cloud Framework.

Sensors (Basel, Switzerland) Jul 26, 2022
There is a growing body of literature that recognizes the importance of Multi-Robot coordination and Modular Robotics. This work evaluates the secure coordination of an Unmanned Aerial Vehicle (UAV) via a drone simulation in Unity and an Unmanned Gro...
Cloud Computing Unmanned Aerial Devices Privacy Robotic Surgical Procedures Robotics Computer Simulation
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Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence.

Journal of biomedical informatics Jul 22, 2022
BACKGROUND: A patient's health information is generally fragmented across silos because it follows how care is delivered: multiple providers in multiple settings. Though it is technically feasible to reunite data for analysis in a manner that underpi...
Delivery of Health Care ROC Curve Machine Learning Humans Privacy Intelligence
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Predicting age and gender from network telemetry: Implications for privacy and impact on policy.

PloS one Jul 21, 2022
The systematic monitoring of private communications through the use of information technology pervades the digital age. One result of this is the potential availability of vast amount of data tracking the characteristics of mobile network users. Such...
Neural Networks, Computer Telemetry Privacy Policy Machine Learning Humans
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Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data.

Sensors (Basel, Switzerland) Jul 11, 2022
Privacy regulations and the physical distribution of heterogeneous data are often primary concerns for the development of deep learning models in a medical context. This paper evaluates the feasibility of differentially private federated learning for...
Privacy X-Rays Radiography Humans ROC Curve Neural Networks, Computer
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Privacy-Preserving Multi-Class Support Vector Machine Model on Medical Diagnosis.

IEEE journal of biomedical and health informatics Jul 1, 2022
With the rapid development of machine learning in the medical cloud system, cloud-assisted medical computing provides a concrete platform for remote rapid medical diagnosis services. Support vector machine (SVM), as one of the important algorithms of...
Cloud Computing Computer Security Support Vector Machine Algorithms Privacy Humans Confidentiality
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Research on Online Social Network Information Leakage-Tracking Algorithm Based on Deep Learning.

Computational intelligence and neuroscience Jun 28, 2022
The rapid iteration of information technology makes the development of online social networks increasingly rapid, and its corresponding network scale is also increasingly large and complex. The corresponding algorithms to deal with social networks an...
Social Networking Deep Learning Privacy Algorithms Neural Networks, Computer
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Privacy-preserving for assembly deviation prediction in a machine learning model of hydraulic equipment under value chain collaboration.

Scientific reports Jun 24, 2022
Hydraulic equipment, as a typical mechanical product, has been wildly used in various fields. Accurate acquisition and secure transmission of assembly deviation data are the most critical issues for hydraulic equipment manufacturer in the PLM-oriente...
Machine Learning Privacy
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Generalized genomic data sharing for differentially private federated learning.

Journal of biomedical informatics Jun 9, 2022
The success behind Machine Learning (ML) methods has largely been attributed to the quality and quantity of the available data which can spread across multiple owners. A Federated Learning (FL) from distributed datasets often provides a reliable solu...
Machine Learning Information Dissemination Genomics Privacy Algorithms
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