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A framework for privacy-preserving similarity search of massive multi-party genomic data. [PDF]
Liu J +5 more
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Evolutionary Digital Twin for Oil and Gas Pipelines: A Cognitive Multi-Agent Framework with Continuous Feedback Learning. [PDF]
Shi N +7 more
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Implementation and Evaluation of a Distributed Secure Multi-party Computation System
Koki Hamada
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A Mixture of Experts Model for Third-Party Pipeline Intrusion Detection Using DAS. [PDF]
Zhu S +7 more
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Secure Multi-party Computation and Its Applications
Communications in Computer and Information Science, 2022There 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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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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Adaptively secure multi-party computation
Proceedings of the twenty-eighth annual ACM symposium on Theory of computing - STOC '96, 1996A 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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