AIMC Topic: Privacy

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Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing.

Sensors (Basel, Switzerland) Nov 12, 2021
Smartphones as ubiquitous gadgets are rapidly becoming more intelligent and context-aware as sensing, networking, and processing capabilities advance. These devices provide users with a comprehensive platform to undertake activities such as socializi...
Computers, Handheld Deep Learning Exercise Privacy Smartphone
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DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine.

Scientific reports Nov 9, 2021
Recent global developments underscore the prominent role big data have in modern medical science. But privacy issues constitute a prevalent problem for collecting and sharing data between researchers. However, synthetic data generated to represent re...
Humans Neural Networks, Computer Privacy Datasets as Topic Electrocardiography Computer Simulation
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Analysis of Application Examples of Differential Privacy in Deep Learning.

Computational intelligence and neuroscience Oct 26, 2021
Artificial Intelligence has been widely applied today, and the subsequent privacy leakage problems have also been paid attention to. Attacks such as model inference attacks on deep neural networks can easily extract user information from neural netwo...
Privacy Artificial Intelligence Deep Learning Neural Networks, Computer
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Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications.

Sensors (Basel, Switzerland) Oct 18, 2021
Today's IoT deployments are highly complex, heterogeneous and constantly changing. This poses severe security challenges such as limited end-to-end security support, lack of cross-platform cross-vertical security interoperability as well as the lack ...
Computer Security Robotics Privacy Communication Delivery of Health Care
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An Accurate Deep Learning Model for Clinical Entity Recognition From Clinical Notes.

IEEE journal of biomedical and health informatics Oct 5, 2021
The growing use of electronic health records in the medical domain results in generating a large amount of medical data that is stored in the form of clinical notes. These clinical notes are enriched with clinical entities like disease, treatment, te...
Machine Learning Electronic Health Records Humans Deep Learning Natural Language Processing Privacy
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Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 1: Data Ethics of Privacy, Consent, and Anonymization.

Journal of the American College of Radiology : JACR Oct 2, 2021
Radiology is at the forefront of the artificial intelligence transformation of health care across multiple areas, from patient selection to study acquisition to image interpretation. Needing large data sets to develop and train these algorithms, deve...
Informed Consent Privacy Delivery of Health Care Information Dissemination Artificial Intelligence Humans
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Privacy and artificial intelligence: challenges for protecting health information in a new era.

BMC medical ethics Sep 15, 2021
BACKGROUND: Advances in healthcare artificial intelligence (AI) are occurring rapidly and there is a growing discussion about managing its development. Many AI technologies end up owned and controlled by private entities. The nature of the implementa...
Privacy Data Anonymization Computer Security Humans Artificial Intelligence Big Data
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An Intelligent Control Model of Credit Line Computing in Intelligence Health-Care Systems.

Frontiers in public health Sep 10, 2021
Technologies such as machine learning and artificial intelligence have brought about a tremendous change to biomedical computing and intelligence health care. As a principal component of the intelligence healthcare system, the hospital information sy...
Intelligence Confidentiality Privacy Delivery of Health Care Artificial Intelligence Humans
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Ethical Considerations Associated with "Humanitarian Drones": A Scoping Literature Review.

Science and engineering ethics Aug 3, 2021
The use of drones (or unmanned aerial vehicles, UVAs) in humanitarian action has emerged rapidly in the last decade and continues to expand. These so-called 'humanitarian drones' represent the first wave of robotics applied in the humanitarian and de...
Organizations Humans Privacy Robotics
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Privacy preserving distributed learning classifiers - Sequential learning with small sets of data.

Computers in biology and medicine Jul 31, 2021
BACKGROUND: Artificial intelligence (AI) typically requires a significant amount of high-quality data to build reliable models, where gathering enough data within a single institution can be particularly challenging. In this study we investigated the...
Algorithms Privacy Machine Learning Neural Networks, Computer Artificial Intelligence Humans
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