Results 21 to 30 of about 7,306 (290)
HACCLE: metaprogramming for secure multi-party computation [PDF]
Proceedings of the 20th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2021 Cryptographic techniques have the potential to enable distrusting parties to collaborate in fundamentally new ways, but their practical implementation poses numerous challenges. An important class of such cryptographic techniques is known as Secure Multi-Party Computation (MPC).
Yuyan Bao +19 more
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Negotiations using secure multi-party computation. [PDF]
, 2015 Secure multi-party computation is a problem where a number of parties want to compute a function of their inputs in a secure way. Security implies correctness of the outputs and privacy of the inputs, even when some parties are cheating. This problem has been at the centre of cryptography research for almost 30 years.
Mawet, Sophie
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Cloud-Assisted Private Set Intersection via Multi-Key Fully Homomorphic Encryption
Mathematics, 2023 With the development of cloud computing and big data, secure multi-party computation, which can collaborate with multiple parties to deal with a large number of transactions, plays an important role in protecting privacy.
Cunqun Fan +6 more
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Secure multi-party computation in large networks [PDF]
Distributed Computing, 2016 We describe scalable protocols for solving the secure multi-party computation (MPC) problem among a large number of parties. We consider both the synchronous and the asynchronous communication models. In the synchronous setting, our protocol is secure against a static malicious adversary corrupting less than a $1/3$ fraction of the parties.
Varsha Dani +4 more
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Privacy-Preserving Determination of Secret Interval and Threshold
Jisuanji kexue yu tansuo, 2020 Secure multi-party computation (SMC) is a research hotspot in cryptography in recent years, and is also a key technology for information security protection.
CHENG Wen, LI Shundong, WANG Wenli
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The High-Level Practical Overview of Open-Source Privacy-Preserving Machine Learning Solutions [PDF]
International Journal of Electronics and Telecommunications, 2022 This paper aims to provide a high-level overview of practical approaches to machine-learning respecting the privacy and confidentiality of customer information, which is called Privacy-Preserving Machine Learning.
Konrad Kuźniewski +2 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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A Privacy-preserving Spatial Outlier Detection Method [PDF]
Jisuanji gongcheng, 2017 Foucusing on the issue that the existing spatial outlier detection methods fail to effectively solve the problem of guaranteeing both the data security and the validity of detection results at the same time,a privacy-preserving spatial outlier detection ...
YU Qingying,LUO Yonglong,CHEN Fulong,ZHENG Xiaoyao
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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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Institute of Information Security Issues, Lomonosov MSU
Безопасность информационных технологий, 2017 This paper showcase protocols of secure computation with complexity characteristics suitable to practical hiding the coordinates of point objects in unspecified local traffic control zone.
Oleg Kazarin
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