Results 241 to 250 of about 1,042,683 (300)

Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey

Journal of Network and Computer Applications, 2023
The metaverse is a nascent concept that envisions a virtual universe, a collaborative space where individuals can interact, create, and participate in a wide range of activities.
Mahdi Alkaeed, Adnan Qayyum, Junaid Qadir   +2 more
semanticscholar   +1 more source

Privacy-preserving geofencing

2023
Der Privatsphärenschutz von persönlichen Informationen gegenüber Dienstbetreibern ist neben dem Absichern von modernen Client-Server-Anwendungen immer noch eine große Herausforderung für Softwareentwickler. Das Ableiten von Nutzerinnen-Informationen durch direkte und indirekte Datenanalysen ist weit verbreitet.
openaire   +2 more sources

Blockchain-Based Fair and Fine-Grained Data Trading With Privacy Preservation

IEEE transactions on computers, 2023
In this article, we propose a blockchain-based fair and privacy-preserving data trading scheme that supports fine-grained data selling. First, to achieve fairness for trading participants, by incorporating attribute-based credentials, encryption, and ...
Liang Xue, Jianbing Ni, Dongxiao Liu, Xiaodong Lin, X. Shen   +4 more
semanticscholar   +1 more source

DartBlur: Privacy Preservation with Detection Artifact Suppression

Computer Vision and Pattern Recognition, 2023
Nowadays, privacy issue has become a top priority when training AI algorithms. Machine learning algorithms are expected to benefit our daily life, while personal information must also be carefully protected from exposure.
Baowei Jiang, Bing Bai, Haozhe Lin, Yu Wang, Yuchen Guo, Lu Fang   +5 more
semanticscholar   +1 more source

Privacy preserving OLAP

Proceedings of the 2005 ACM SIGMOD international conference on Management of data, 2005
We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (randomized) in order to preserve privacy before it is integrated at the server. We develop formal notions of privacy obtained from data perturbation and show that our perturbation
Rakesh Agrawal 0001, Ramakrishnan Srikant, Dilys Thomas   +2 more
openaire   +1 more source

Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study

ACM Transactions on Software Engineering and Methodology
Enormous risks and hidden dangers of information security exist in the applications of Internet of Things (IoT) technologies. To secure IoT software systems, software engineers have to deploy advanced security software such as Intrusion Detection Systems
Damiano Torre, Anitha Chennamaneni, JaeYun Jo, Gitika Vyas, Brandon Sabrsula   +4 more
semanticscholar   +1 more source

A New Privacy Preservation Mechanism and a Gain Iterative Disturbance Observer for Multiagent Systems

IEEE Transactions on Network Science and Engineering
A new privacy preservation mechanism and a gain iterative disturbance observer are proposed for multiagent systems. The proposed privacy protection mechanism can realize the privacy preservation in the user-defined time, which can improve the encryption ...
Min Wang, Hongjing Liang, Yingnan Pan, Xiangpeng Xie   +3 more
semanticscholar   +1 more source

Federated Learning Differential Privacy Preservation Method Based on Differentiated Noise Addition

2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), 2023
Differential privacy is an essential tool in federated learning privacy preservation. However, existing differential privacy-preserving techniques introduce excessive noise perturbations for privacy-preserving purposes, which makes federated learning ...
Liquan Han, Di Fan, Jinyuan Liu, Wei Du
semanticscholar   +1 more source

Privacy-preserving polling

Communications of the ACM, 2020
Can you answer a poll without revealing your true preferences and have the results of the poll still be accurate?
openaire   +1 more source

Multi-Agent Reinforcement Learning With Privacy Preservation for Continuous Double Auction-Based P2P Energy Trading

IEEE Transactions on Industrial Informatics
With increasing deployment of distributed energy resources, the energy market which aims for local generation and load profile redistribution is facing the challenge to accommodate various types of participants.
Jiehui Zheng, Ze-Ting Liang, Yuanzheng Li, Zhigang Li, Qing-Hua Wu   +4 more
semanticscholar   +1 more source