Results 311 to 320 of about 23,477,104 (364)

Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy

IEEE/ASME transactions on mechatronics, 2021
Intelligent data-driven machinery fault diagnosis methods have been popularly developed in the past years. While fairly high diagnosis accuracies have been obtained, large amounts of labeled training data are mostly required, which are difficult to ...
Wei Zhang, Xiang Li
semanticscholar   +1 more source

How to address data privacy concerns when using social media data in conservation science

Conservation Biology, 2021
Social media data are being increasingly used in conservation science to study human–nature interactions. User‐generated content, such as images, video, text, and audio, and the associated metadata can be used to assess such interactions.
E. Di Minin, Christoph Fink, A. Hausmann, Jens Kremer, Ritwik Kulkarni   +4 more
semanticscholar   +1 more source

Data privacy preserving federated transfer learning in machinery fault diagnostics using prior distributions

Structural Health Monitoring, 2021
Federated learning has been receiving increasing attention in the recent years, which improves model performance with data privacy among different clients.
Wei Zhang, Xiang Li
semanticscholar   +1 more source

Hotel data privacy: strategies to reduce customers’ emotional violations, privacy concerns, and switching intention

Journal of Travel & Tourism Marketing, 2022
This study develops a solid theoretical framework explaining data vulnerability, psychological anxiety, and switching intention of customers through hotel data privacy. Data privacy developed in this study is classified into four sub-factors. The results
Jongsik Yu, Hyoungeun Moon, Bee‐Lia Chua, Heesup Han   +3 more
semanticscholar   +1 more source

An AI-Enabled Three-Party Game Framework for Guaranteed Data Privacy in Mobile Edge Crowdsensing of IoT

IEEE Transactions on Industrial Informatics, 2021
The mobile crowdsensing (MCS) technology with a large number of Internet of Things (IoT) devices provides an economic and efficient solution to participation in coordinated large-scale sensing tasks.
Jinbo Xiong, Mingfeng Zhao, Md Zakirul Alam Bhuiyan, Lei Chen, Youliang Tian   +4 more
semanticscholar   +1 more source

Keep Your Data Locally: Federated-Learning-Based Data Privacy Preservation in Edge Computing

IEEE Network, 2021
Recently, edge computing has attracted significant interest due to its ability to extend cloud computing utilities and services to the network edge with low response times and communication costs.
Gaoyang Liu, Chen Wang, Xiaoqian Ma, Yang Yang   +3 more
semanticscholar   +1 more source

Data Privacy

The SAGE International Encyclopedia of Mass Media and Society, 2019
Tim McBride
openaire   +2 more sources

Zeph: Cryptographic Enforcement of End-to-End Data Privacy

USENIX Symposium on Operating Systems Design and Implementation, 2021
As increasingly more sensitive data is being collected to gain valuable insights, the need to natively integrate privacy controls in data analytics frameworks is growing in importance.
Lukas Burkhalter, Nicolas Küchler, Alexander Viand, Hossein Shafagh, Anwar Hithnawi   +4 more
semanticscholar   +1 more source

Data Privacy

2011
In today's globally interconnected society, a huge amount of data about individuals is collected, processed, and disseminated. Data collections often contain sensitive personally identifiable information that need to be adequately protected against improper disclosure.
M. Bezzi, S. De Capitani di Vimercati, S. Foresti, G. Livraga, S. Paraboschi, P. Samarati   +5 more
openaire   +1 more source

On Protecting the Data Privacy of Large Language Models (LLMs): A Survey

International Conference on Mathematics and Computing
Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyzing large amounts of text data, allowing them to perform writing ...
Biwei Yan, Kun Li, Minghui Xu, Yueyan Dong, Yue Zhang, Zhaochun Ren, Xiuzhen Cheng   +6 more
semanticscholar   +1 more source