Results 31 to 40 of about 200,943 (331)
Crowdsourced federated learning architecture with personalized privacy preservation
Intelligent and Converged NetworksIn crowdsourced federated learning, differential privacy is commonly used to prevent the aggregation server from recovering training data from the models uploaded by clients to achieve privacy preservation.
Yunfan Xu +3 more
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Repairing mappings under policy views [PDF]
, 2019 The problem of data exchange involves a source schema, a target schema and a set of mappings from transforming the data between the two schemas. We study the problem of data exchange in the presence of privacy restrictions on the source.
Bonifati, Angela +2 more
core +1 more source
Preserving Privacy in Production [PDF]
, 2014 In modern manufacturing environments, new technologies are introduced that bring machines, analytics and people closer together. As a consequence, a rise in productivity, flexibility and efficiency is expected. However, these technologies raise new privacy concerns as well.
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Privacy Threats and Privacy Preservation in Multiple Data Releases of High-Dimensional Datasets
ComputersDetermining how to balance data utilities and data privacy when datasets are released to be utilized outside the scope of data-collecting organizations constitutes a major challenge.
Surapon Riyana
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World Electric Vehicle JournalElectric vehicle (EV) charging recommendation can significantly improve global planning performance, corresponding to an increasing risk of privacy leakage.
Yiqi Liu, Jiaxin Ju, Zhiyi Li
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CoRR, 2018 Ensuring differential privacy of models learned from sensitive user data is an important goal that has been studied extensively in recent years. It is now known that for some basic learning problems, especially those involving high-dimensional data, producing an accurate private model requires much more data than learning without privacy.
Cynthia Dwork, Vitaly Feldman
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Privacy Preserved Cyber-Physical Searching for Information-Centric Intelligent Agriculture
IEEE Open Journal of the Computer Society, 2021 Technological evolution has brought great changes to traditional industries. Nowadays farmers obtain great benefits such as intelligent production and convenient management from intelligent agriculture.
Li Ding +4 more
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ERA: Towards Privacy Preservation and Verifiability for Online Ad Exchanges
, 2017 Ad exchanges are kind of the most popular online advertising marketplaces for trading ad spaces over the Internet. Ad exchanges run auctions to sell diverse ad spaces on the publishers' web-pages to advertisers, who want to display ads on ad spaces ...
Chen, Guihai +4 more
core +1 more source
Privacy Preserving Clustering [PDF]
, 2005 The freedom and transparency of information flow on the Internet has heightened concerns of privacy. Given a set of data items, clustering algorithms group similar items together. Clustering has many applications, such as customerbehavior analysis, targeted marketing, forensics, and bioinformatics. In this paper, we present the design and analysis of a
Somesh Jha +2 more
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Journal of King Saud University: Computer and Information SciencesBetween the changing Industry 4.0 landscape and the rise of Industry 5.0, where human intelligence and intelligent machines work together, vast amounts of privacy-sensitive data are generated, processed, and exchanged, making them attractive targets of ...
Adib Habbal +4 more
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