Results 21 to 30 of about 9,161 (305)
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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Asynchronous Multi-Party Quantum Computation.
IACR Cryptol. ePrint Arch., 2022 Multi-party quantum computation (MPQC) allows a set of parties to securely compute a quantum circuit over private quantum data. Current MPQC protocols rely on the fact that the network is synchronous, i.e., messages sent are guaranteed to be delivered within a known fixed delay upper bound, and unfortunately completely break down even when only a ...
Vipul Goyal +3 more
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Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
IEEE Access, 2021 As machine learning (ML) technologies and applications are rapidly changing many computing domains, security issues associated with ML are also emerging.
Kha Dinh Duy +3 more
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Multi-party Finite Computations [PDF]
, 1999 We consider systems consisting of a finite number of finite automata which communicate by sending messages. We consider number of messages necessary to recognize a language as a complexity measure of the language. We feel that these considerations give a new insight into computational complexity of problems computed by read-only devices in ...
Tomasz Jurdzinski +2 more
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大数据, 2023 Secure multi-party computation is widely used in finance, the Internet, and other fields to solve the problem of ＆quot;data silos＆quot;, but its application in the field of public data is not yet mature.An innovative model for public data integration ...
Jiahe JIN +3 more
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CE-Fed: Communication efficient multi-party computation enabled federated learning
Array, 2022 Federated learning (FL) allows a number of parties collectively train models without revealing private datasets. There is a possibility of extracting personal or confidential data from the shared models even-though sharing of raw data is prevented by ...
Renuga Kanagavelu +7 more
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Robust peer-to-peer learning via secure multi-party computation
Journal of Information and Intelligence, 2023 To solve the data island problem, federated learning (FL) provides a solution paradigm where each client sends the model parameters but not the data to a server for model aggregation.
Yongkang Luo +4 more
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Concretely efficient secure multi-party computation protocols: survey and more
Security and Safety, 2022 Secure multi-party computation (MPC) allows a set of parties to jointly compute a function on their private inputs, and reveals nothing but the output of the function. In the last decade, MPC has rapidly moved from a purely theoretical study to an object
Feng Dengguo, Yang Kang
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Efficient Secure Multi-party Computation [PDF]
, 2000 Since the introduction of secure multi-party computation, all proposed protocols that provide security against cheating players suffer from very high communication complexities. The most efficient unconditionally secure protocols among n players, tolerating cheating by up to t < n/3 of them, require communicating O(n6) field elements for each ...
Martin Hirt +2 more
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A Framework for Privacy-Preserving Multi-Party Skyline Query Based on Homomorphic Encryption
IEEE Access, 2019 Nowadays, the management and analyses of `big data' are becoming indispensable for numerous organizations all over the world. In many cases, multiple organizations want to perform data analyses on their combined databases.
Mahboob Qaosar +6 more
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