Results 31 to 40 of about 33,844 (282)

Repairing mappings under policy views [PDF]

open access: yes, 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

Privacy preservation techniques in big data analytics: a survey

open access: yesJournal of Big Data, 2018
Incredible amounts of data is being generated by various organizations like hospitals, banks, e-commerce, retail and supply chain, etc. by virtue of digital technology.
P. Ram Mohan Rao   +2 more
doaj   +1 more source

Privacy-Preserving Loyalty Programs [PDF]

open access: yes, 2015
Presented at the 9th DPM International Workshop on Data Privacy Management (DPM 2014, held on Sep. 10, 2014).
Blanco-Justicia, Alberto   +1 more
openaire   +2 more sources

Crowdsourced federated learning architecture with personalized privacy preservation

open access: yesIntelligent and Converged Networks
In 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
doaj   +1 more source

A system-theoretic framework for privacy preservation in continuous-time multiagent dynamics

open access: yes, 2020
In multiagent dynamical systems, privacy protection corresponds to avoid disclosing the initial states of the agents while accomplishing a distributed task. The system-theoretic framework described in this paper for this scope, denoted dynamical privacy,
Altafini, Claudio
core   +1 more source

Privacy-Preserving Restricted Boltzmann Machine [PDF]

open access: yesComputational and Mathematical Methods in Medicine, 2014
With the arrival of the big data era, it is predicted that distributed data mining will lead to an information technology revolution. To motivate different institutes to collaborate with each other, the crucial issue is to eliminate their concerns regarding data privacy.
Yu Li, Yuan Zhang, Yue Ji
openaire   +2 more sources

Privacy Threats and Privacy Preservation in Multiple Data Releases of High-Dimensional Datasets

open access: yesComputers
Determining 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
doaj   +1 more source

An Efficient Approach Based on Privacy-Preserving Deep Learning for Satellite Image Classification

open access: yesRemote Sensing, 2021
Satellite images have drawn increasing interest from a wide variety of users, including business and government, ever since their increased usage in important fields ranging from weather, forestry and agriculture to surface changes and biodiversity ...
Munirah Alkhelaiwi   +4 more
doaj   +1 more source

Privacy-Preserving Electric Vehicle Charging Recommendation by Incorporating Full Homomorphic Encryption and Secure Multi-Party Computing

open access: yesWorld Electric Vehicle Journal
Electric vehicle (EV) charging recommendation can significantly improve global planning performance, corresponding to an increasing risk of privacy leakage.
Yiqi Liu, Jiaxin Ju, Zhiyi Li
doaj   +1 more source

Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations

open access: yesMathematics, 2022
Due to privacy concerns, multi-party gradient tree boosting algorithms have become widely popular amongst machine learning researchers and practitioners.
Kennedy Edemacu, Jong Wook Kim
doaj   +1 more source

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