Using Secure Multi-Party Computation to Protect Privacy on a Permissioned Blockchain [PDF]
Sensors, 2021 The development of information technology has brought great convenience to our lives, but at the same time, the unfairness and privacy issues brought about by traditional centralized systems cannot be ignored.
Jiapeng Zhou +3 more
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A secure multi-party computation protocol without CRS supporting multi-bit encryption. [PDF]
PLoS ONE, 2022 To solve the problems in the existing fully homomorphic encryption (FHE)-based secure multi-party computation (SMC) protocols such as low efficiency, the FHE scheme that supports multi-bit encryption was modified during the generation of the public key ...
Zong-Wu Zhu, Ru-Wei Huang
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Fair and Secure Multi-Party Computation with Cheater Detection
Cryptography, 2021 Secure multi-party computation (SMC) is a cryptographic protocol that allows participants to compute the desired output without revealing their inputs. A variety of results related to increasing the efficiency of SMC protocol have been reported, and thus,
Minhye Seo
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Secure Multi-Party Computation for Collaborative Data Analysis [PDF]
E3S Web of Conferences, 2023 A potent cryptographic mechanism called Secure Multi-Party Computation (SMPC) has evolved that allows numerous participants to work together and execute data analytic tasks while maintaining the privacy and secrecy of their individual data.
Alghamdi Wajdi +4 more
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Federated Learning Scheme Based on Secure Multi-party Computation and Differential Privacy [PDF]
Jisuanji kexue, 2022 Federated learning provides a novel solution to collaborative learning among untrusted entities. Through a local-trai-ning-and-central-aggregation pattern,the federated learning algorithm trains a global model while protects local data privacy of each ...
TANG Ling-tao, WANG Di, ZHANG Lu-fei, LIU Sheng-yun
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Private Set Intersection Protocols Among Multi-party with Cloud Server Aided [PDF]
Jisuanji kexue, 2021 Private set intersection (PSI) is a secure multi-party computation technique that allows several parties,who each hold a set of private items,to compute the intersection of those private sets without revealing additional information.PSI has been widely ...
WANG Qin, WEI Li-fei, LIU Ji-hai, ZHANG Lei
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Efficient SMC Protocol Based on Multi-Bit Fully Homomorphic Encryption
Applied Sciences, 2021 Aiming at the problems of large ciphertext size and low efficiency in the current secure multi-party computation (SMC) protocol based on fully homomorphic encryption (FHE), the paper proves that the fully homomorphic encryption scheme that supports multi-
Zong-Wu Zhu, Ru-Wei Huang
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Randomized Oblivious Transfer for Secure Multiparty Computation in the Quantum Setting
Entropy, 2021 Secure computation is a powerful cryptographic tool that encompasses the evaluation of any multivariate function with arbitrary inputs from mutually distrusting parties.
Bruno Costa +4 more
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Secure Multi-party Computing Protocol Based on Efficient Fully Homomorphic Encryption [PDF]
Jisuanji kexue, 2022 In view of the problem of large ciphertext size and low efficiency of the current secure multi-party computation protocol based on fully homomorphic encryption,this paper proves that the fully homomorphic encryption scheme that supports multi-bit ...
ZHU Zong-wu, HUANG Ru-wei
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Privacy-preserving machine learning based on secure two-party computations
Безопасность информационных технологий, 2021 The paper is devoted to the analysis of privacy-preserving machine learning systems based on secure two-party computations. The paper provides introductory information about privacy-preserving machine learning systems, analyses the goals and objectives ...
Sergey V. Zapechnikov +1 more
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