Articles with "differential privacy" as a keyword



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A differential privacy‐preserving deep learning caching framework for heterogeneous communication network systems

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Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.23036

Abstract: Caching and artificial intelligence technology are means to improve the content transmission rate and solve the delay problem in heterogeneous communication networks, which provide an important technical basis for telemedicine diagnosis, disease monitoring, and other… read more here.

Keywords: heterogeneous communication; network; framework; privacy ... See more keywords
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Influence of data errors on differential privacy

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Published in 2017 at "Cluster Computing"

DOI: 10.1007/s10586-017-1457-4

Abstract: The rapid development of data sharing applications brings a serious problem of privacy disclosure. As an effective privacy-preserving method, the differential privacy, which strictly defines the privacy-preserving degree and data utility mathematically, can balance the… read more here.

Keywords: differential privacy; errors differential; utility; data errors ... See more keywords
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Boosting the accuracy of differentially private in weighted social networks

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Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-08092-0

Abstract: Social network not only helps people to build its internet applicable service, but also collects a large amount of user information (i.e., sensitive data), which may reveal potential privacy information by analyzing these data. At… read more here.

Keywords: differential privacy; social network; network; accuracy ... See more keywords
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Intermittently differential privacy in smart meters via rechargeable batteries

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Published in 2021 at "Electric Power Systems Research"

DOI: 10.1016/j.epsr.2021.107410

Abstract: Abstract The smart meters have been widely deployed to monitor customer usage profiles around the world, which can read the energy load of residents blue at the rate of per minute or per second. This… read more here.

Keywords: idp scheme; differential privacy; privacy; smart meters ... See more keywords
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Privacy-Preserving of System Model with Perturbed State Trajectories using Differential Privacy: With application to a Supply Chain Network

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Published in 2019 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2019.12.173

Abstract: Abstract Releasing state samples generated by a dynamical system model, for data aggregation purposes, can allow an adversary to perform reverse engineering and estimate sensitive model parameters. Upon identification of the system model, the adversary… read more here.

Keywords: state; privacy; differential privacy; system model ... See more keywords
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Utility-efficient Differentially Private K-means Clustering based on Cluster Merging

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Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.10.051

Abstract: Differential privacy is widely used in data analysis. State-of-the-art $k$-means clustering algorithms with differential privacy typically add an equal amount of noise to centroids for each iterative computation. In this paper, we propose a novel… read more here.

Keywords: differential privacy; utility; means clustering; differentially private ... See more keywords
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Medical imaging deep learning with differential privacy

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Published in 2021 at "Scientific Reports"

DOI: 10.1038/s41598-021-93030-0

Abstract: The successful training of deep learning models for diagnostic deployment in medical imaging applications requires large volumes of data. Such data cannot be procured without consideration for patient privacy, mandated both by legal regulations and… read more here.

Keywords: differential privacy; neural network; framework; deep learning ... See more keywords
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A multimodal differential privacy framework based on fusion representation learning

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Published in 2022 at "Connection Science"

DOI: 10.1080/09540091.2022.2111406

Abstract: Differential privacy mechanisms vary in modalities, and there have been many methods implementing differential privacy on unimodal data. Few studies focus on unifying them to protect multimodal data, though privacy protection of multimodal data is… read more here.

Keywords: fusion; representation learning; framework; privacy ... See more keywords
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DP-MCDBSCAN: Differential Privacy Preserving Multi-Core DBSCAN Clustering for Network User Data

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2824798

Abstract: The proliferation of ubiquitous Internet and mobile devices has brought about the exponential growth of individual data in big data era. The network user data has been confronted with serious privacy concerns for extracting valuable… read more here.

Keywords: privacy; differential privacy; user data; network user ... See more keywords
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Differential Private POI Queries via Johnson-Lindenstrauss Transform

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2840726

Abstract: The growing popularity of location-based services is giving untrusted servers relatively free reign to collect huge amounts of location information from mobile users. This information can reveal far more than just a user’s locations but… read more here.

Keywords: differential privacy; location; information; lindenstrauss transform ... See more keywords
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Data Loss and Reconstruction of Location Differential Privacy Protection Based on Edge Computing

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2922293

Abstract: With the development of the Internet of Things (IoT), the delay caused by network transmission has led to low data processing efficiency. The emergence of edge computing can effectively reduce the delay of data transmission… read more here.

Keywords: protection; data loss; differential privacy; edge computing ... See more keywords