Results 11 to 20 of about 23,477,104 (364)

A Privacy-Preserving Scheme for Smart Grid Using Trusted Execution Environment

open access: yesIEEE Access, 2023
The increasing transformation from the legacy power grid to the smart grid brings new opportunities and challenges to power system operations. Bidirectional communications between home-area devices and the distribution system empower smart grid ...
Mete Akgun   +2 more
doaj   +1 more source

Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction [PDF]

open access: yesIEEE Transactions on Information Forensics and Security, 2022
Split learning (SL) enables data privacy preservation by allowing clients to collaboratively train a deep learning model with the server without sharing raw data.
Ngoc Duy Pham   +4 more
semanticscholar   +1 more source

New machine behavior’s evolutionary approaches between AI learning, control and ethics promoting cooperative Human-Machine Intelligence

open access: yesEuropean Journal of Privacy Law & Technologies, 2022
The technological revolution in the fields of robotics and artificial intelligence seems to indicate a future shift in our human-centered social paradigm towards a greater inclusion of artificial cognitive agents in our everyday environments ...
Sergio Guida
doaj   +1 more source

A Review of Social Media Data Utilization for the Prediction of Disease Outbreaks and Understanding Public Perception

open access: yesBig Data and Cognitive Computing, 2023
Infectious diseases take a large toll on the global population, not only through risks of illness but also through economic burdens and lifestyle changes.
Alice Wang   +4 more
doaj   +1 more source

KeyNet: An Asymmetric Key-Style Framework for Watermarking Deep Learning Models

open access: yesApplied Sciences, 2021
Many organizations devote significant resources to building high-fidelity deep learning (DL) models. Therefore, they have a great interest in making sure the models they have trained are not appropriated by others. Embedding watermarks (WMs) in DL models
Najeeb Moharram Jebreel   +3 more
doaj   +1 more source

Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures

open access: yesMathematics, 2023
Brain tumor segmentation in medical imaging is a critical task for diagnosis and treatment while preserving patient data privacy and security. Traditional centralized approaches often encounter obstacles in data sharing due to privacy regulations and ...
Faizan Ullah   +5 more
semanticscholar   +1 more source

Automatic Assessment of Privacy Policies under the GDPR

open access: yesApplied Sciences, 2021
To comply with the EU General Data Protection Regulation (GDPR), companies managing personal data have been forced to review their privacy policies. However, privacy policies will not solve any problems as long as users do not read or are not able to ...
David Sánchez   +2 more
doaj   +1 more source

Cybersecurity, Data Privacy and Blockchain: A Review

open access: yesSN Computer Science, 2022
In this paper, we identify and review key challenges to bridge the knowledge-gap between SME’s, companies, organisations, businesses, government institutions and the general public in adopting, promoting and utilising Blockchain technology.
Vinden Wylde   +8 more
semanticscholar   +1 more source

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection [PDF]

open access: yesIEEE Transactions on Knowledge and Data Engineering, 2019
As data privacy increasingly becomes a critical societal concern, federated learning has been a hot research topic in enabling the collaborative training of machine learning models among different organizations under the privacy restrictions.
Q. Li   +3 more
semanticscholar   +1 more source

Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective

open access: yesIEEE Transactions on Big Data, 2023
Artificial Intelligence-based applications have been increasingly deployed in every field of life including smart homes, smart cities, healthcare services, and autonomous systems where personal data is collected across heterogeneous sources and processed
Naila Azam   +3 more
semanticscholar   +1 more source

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