AIMC Topic: Privacy

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Recommendation System for Privacy-Preserving Education Technologies.

Computational intelligence and neuroscience Apr 16, 2022
Considering the priority for personalized and fully customized learning systems, the innovative computational intelligent systems for personalized educational technologies are the timeliest research area. Since the machine learning models reflect the...
Technology Artificial Intelligence Educational Technology Machine Learning Humans Privacy
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Personality Privacy Protection Method of Social Users Based on Generative Adversarial Networks.

Computational intelligence and neuroscience Apr 13, 2022
Obscuring or otherwise minimizing the release of personality information from potential victims of social engineering attacks effectively interferes with an attacker's personality analysis and reduces the success rate of social engineering attacks. W...
Semantics Neural Networks, Computer Privacy Personality
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DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Apr 1, 2022
Recent advances in next-generation sequencing technologies have led to the successful insertion of video information into DNA using synthesized oligonucleotides. Several attempts have been made to embed larger data into living organisms. This process...
Neural Networks, Computer Privacy DNA Base Sequence Algorithms
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Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 31, 2022
Cerebellar ataxia (CA) is concerned with the incoordination of movement caused by cerebellar dysfunction. Movements of the eyes, speech, trunk, and limbs are affected. Conventional machine learning approaches utilizing centralised databases have been...
Privacy Machine Learning Cerebellar Ataxia Humans Deep Learning Speech
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MFDroid: A Stacking Ensemble Learning Framework for Android Malware Detection.

Sensors (Basel, Switzerland) Mar 28, 2022
As Android is a popular a mobile operating system, Android malware is on the rise, which poses a great threat to user privacy and security. Considering the poor detection effects of the single feature selection algorithm and the low detection efficie...
Software Machine Learning Privacy Algorithms
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A Differential Privacy Strategy Based on Local Features of Non-Gaussian Noise in Federated Learning.

Sensors (Basel, Switzerland) Mar 22, 2022
As an emerging artificial intelligence technology, federated learning plays a significant role in privacy preservation in machine learning, although its main objective is to prevent peers from peeping data. However, attackers from the outside can ste...
Reproducibility of Results Research Design Artificial Intelligence Humans Privacy Machine Learning
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Ethical Design and Use of Robotic Care of the Elderly.

Journal of bioethical inquiry Mar 21, 2022
The Australian Royal Commission into Aged Care Quality and Safety acknowledged understaffing and substandard care in residential aged care and home care services, and recommendations were made that that the Australian Government should promote assist...
Privacy Morals Robotics Home Care Services Humans Australia Aged
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Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology.

Current opinion in ophthalmology Mar 9, 2022
PURPOSE OF REVIEW: The application of artificial intelligence (AI) in medicine and ophthalmology has experienced exponential breakthroughs in recent years in diagnosis, prognosis, and aiding clinical decision-making. The use of digital data has also ...
Privacy Ophthalmology Artificial Intelligence Natural Language Processing Technology Humans
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A Lightweight Hybrid Deep Learning Privacy Preserving Model for FC-Based Industrial Internet of Medical Things.

Sensors (Basel, Switzerland) Mar 9, 2022
The Industrial Internet of Things (IIoT) is gaining importance as most technologies and applications are integrated with the IIoT. Moreover, it consists of several tiny sensors to sense the environment and gather the information. These devices contin...
Blockchain Privacy Computer Security Internet Deep Learning
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Security Requirements and Challenges of 6G Technologies and Applications.

Sensors (Basel, Switzerland) Mar 2, 2022
After implementing 5G technology, academia and industry started researching 6th generation wireless network technology (6G). 6G is expected to be implemented around the year 2030. It will offer a significant experience for everyone by enabling hyper-...
Artificial Intelligence Technology Humans Computer Security Privacy Wireless Technology
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