Results 21 to 30 of about 64,505 (309)
The Novel Location Privacy-Preserving CKD for Mobile Crowdsourcing Systems
IEEE Access, 2018 With the development of mobile devices, mobile crowdsourcing has become the research hotspot in mobile crowd sensing networks (MCSS). How to protect the location privacy of mobile user in location-based services is a key problem in MCSS.
Zhongyang Chi +3 more
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Privacy-preserving Linear Programming [PDF]
, 2018 A Book ...
Hong, Yuan +3 more
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Privacy-Preserving Monotonicity of Differential Privacy Mechanisms
Applied Sciences, 2018 Differential privacy mechanisms can offer a trade-off between privacy and utility by using privacy metrics and utility metrics. The trade-off of differential privacy shows that one thing increases and another decreases in terms of privacy metrics and ...
Hai Liu +5 more
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Privacy preservation by disassociation [PDF]
Proceedings of the VLDB Endowment, 2012 In this work, we focus on protection against identity disclosure in the publication of sparse multidimensional data. Existing multidimensional anonymization techniques (a) protect the privacy of users either by altering the set of quasi-identifiers of the original data (e.g., by generalization or suppression) or by ...
Terrovitis, M +3 more
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Privacy-preserving machine learning based on secure three-party computations
Безопасность информационных технологий, 2022 The paper is devoted to the analysis of privacy-preserving machine learning systems based on the concept of secure three-party computations. After general information about the purposes of secure multi-party computations and privacy-preserving machine ...
Sergey V. Zapechnikov
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PEIGEN – a Platform for Evaluation, Implementation, and Generation of S-boxes
IACR Transactions on Symmetric Cryptology, 2019 In this paper, a platform named PEIGEN is presented to evaluate security, find efficient software/hardware implementations, and generate cryptographic S-boxes.
Zhenzhen Bao +3 more
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Privacy-Preserving Loyalty Programs [PDF]
, 2015 Presented at the 9th DPM International Workshop on Data Privacy Management (DPM 2014, held on Sep. 10, 2014).
Blanco-Justicia, Alberto +1 more
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Privacy-Preserving Restricted Boltzmann Machine [PDF]
Computational 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
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Privacy Computing: Concept, Computing Framework, and Future Development Trends
Engineering, 2019 With the rapid development of information technology and the continuous evolution of personalized services, huge amounts of data are accumulated by large internet companies in the process of serving users. Moreover, dynamic data interactions increase the
Fenghua Li, Hui Li, Ben Niu, Jinjun Chen
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Secure Federated Evolutionary Optimization—A Survey
EngineeringWith the development of edge devices and cloud computing, the question of how to accomplish machine learning and optimization tasks in a privacy-preserving and secure way has attracted increased attention over the past decade.
Qiqi Liu +6 more
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