AIMC Topic: Privacy

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Recover User's Private Training Image Data by Gradient in Federated Learning.

Sensors (Basel, Switzerland) Sep 21, 2022
Exchanging gradient is a widely used method in modern multinode machine learning system (e.g., distributed training, Federated Learning). Gradients and weights of model has been presumed to be safe to delivery. However, some studies have shown that g...
Privacy Algorithms Image Processing, Computer-Assisted Machine Learning Neural Networks, Computer
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Next-Generation Capabilities in Trusted Research Environments: Interview Study.

Journal of medical Internet research Sep 20, 2022
BACKGROUND: A Trusted Research Environment (TRE; also known as a Safe Haven) is an environment supported by trained staff and agreed processes (principles and standards), providing access to data for research while protecting patient confidentiality....
Privacy Computer Security Confidentiality Humans Qualitative Research Artificial Intelligence
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A digital mask to safeguard patient privacy.

Nature medicine Sep 15, 2022
The storage of facial images in medical records poses privacy risks due to the sensitive nature of the personal biometric information that can be extracted from such images. To minimize these risks, we developed a new technology, called the digital m...
Confidentiality Privacy Prospective Studies Face Humans Algorithms Artificial Intelligence
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Multimodal biomedical AI.

Nature medicine Sep 15, 2022
The increasing availability of biomedical data from large biobanks, electronic health records, medical imaging, wearable and ambient biosensors, and the lower cost of genome and microbiome sequencing have set the stage for the development of multimod...
Electronic Health Records Privacy Humans Pandemics Artificial Intelligence
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Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals.

Computational intelligence and neuroscience Sep 14, 2022
A large component of the Health Information Systems now comprises numerous independent apps created in the past that need to be merged to provide a more uniform service. In addition to affecting the Intelligent Health Board Functionality and dependab...
Saudi Arabia Privacy Delivery of Health Care Artificial Intelligence Hospitals
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An investigation of privacy preservation in deep learning-based eye-tracking.

Biomedical engineering online Sep 13, 2022
BACKGROUND: The expanding usage of complex machine learning methods such as deep learning has led to an explosion in human activity recognition, particularly applied to health. However, complex models which handle private and sometimes protected data...
Privacy Eye-Tracking Technology Machine Learning Support Vector Machine Deep Learning Humans
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Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects.

Computers in biology and medicine Sep 1, 2022
Human Activity Recognition (HAR) plays a significant role in the everyday life of people because of its ability to learn extensive high-level information about human activity from wearable or stationary devices. A substantial amount of research has b...
Humans Neural Networks, Computer Information Storage and Retrieval Human Activities Privacy Smartphone
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Analysis of Legal Issues of Personal Information Protection in the Field of Big Data.

Journal of environmental and public health Aug 29, 2022
In the era of big data, while every citizen enjoys the convenience of the Internet, all kinds of information closely related to their personal and property are in a state of "streaking" for a long time. Personal information is frequently leaked, ille...
Big Data Humans Artificial Intelligence Computer Security Privacy
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Aggregation Strategy on Federated Machine Learning Algorithm for Collaborative Predictive Maintenance.

Sensors (Basel, Switzerland) Aug 19, 2022
Industry 4.0 lets the industry build compact, precise, and connected assets and also has made modern industrial assets a massive source of data that can be used in process optimization, defining product quality, and predictive maintenance (PM). Large...
Support Vector Machine Computer Simulation Privacy Machine Learning Algorithms
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A privacy preservation framework for feedforward-designed convolutional neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 10, 2022
A feedforward-designed convolutional neural network (FF-CNN) is an interpretable neural network with low training complexity. Unlike a neural network trained using backpropagation (BP) algorithms and optimizers (e.g., stochastic gradient descent (SGD...
Cloud Computing Algorithms Privacy Neural Networks, Computer
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