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A secure and scalable blockchain-assisted authentication framework for decentralized IoT data management. [PDF]
Iswarya G, Vennila C.
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A data privacy protection method for infectious disease prediction models with balanced training speed and accuracy. [PDF]
Wang X +9 more
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Technical and legal aspects of federated learning in bioinformatics: applications, challenges and opportunities. [PDF]
Malpetti D +8 more
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Secure Multi-party Computation and Its Applications
There is an urgent need for secure data sharing solutions, such that different organisations can jointly compute with their data, without revealing sensitive data to each other. Secure multi-party computation is an innovative cryptographic technology that has recently become more mature, such that it can be used to obtain very secure data sharing ...
Thijs Veugen
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Round-Optimal Secure Multi-Party Computation [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carmit Hazay +2 more
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Adaptively secure multi-party computation
A fundamental problem in designing secure multi-party protocols is how to deal with adaptive adversaries (i.e., adversaries that may choose the corrupted parties during the course of the computation), in a setting where the channels are insecure and secure communication is achieved by cryptographic primitives based on computational limitations of the ...
Ran Canetti +3 more
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Secure multi-party computation protocol for sequencing problem
In the field of multi-party computation, an important problem is how to construct an efficient and secure multi-party computation protocol for certain specific problems.
Chunming Tang, Tang Chunming
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Secure Multi-Party Computation
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018Secure multi-party computation (SMC) is an emerging topic which has been drawing growing attention during recent decades. There are many examples which show importance of SMC constructions in practice, such as privacy-preserving decision making and machine learning, auctions, private set intersection, and others.
Fattaneh Bayatbabolghani, Marina Blanton
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