Results 41 to 50 of about 7,306 (290)
Secure Two-party Computation Approach for NTRUEncrypt [PDF]
, 2022 Secure multi-party computation can provide a solution for privacy protection and ensure the correctness of the final calculation results. Lattice-based algorithms are considered to be one of the most promising post-quantum cryptographic algorithms due to
Lin You, Gengran Hu, Yan Wang, Liang Li
core
Wiretap codes for secure multi-party computation
2014 IEEE Globecom Workshops (GC Wkshps), 2014 In this paper, we propose a new secret sharing scheme for secure multi-party computation. We present a general framework that allows us to construct efficient secret sharing schemes from channel coding techniques for the wiretap channel. The resulting schemes can be employed to securely calculate linear functions of data that are distributed in a ...
Ragnar Thobaben +2 more
openaire +3 more sources
High performance logistic regression for privacy-preserving genome analysis
BMC Medical Genomics, 2021 Background In biomedical applications, valuable data is often split between owners who cannot openly share the data because of privacy regulations and concerns.
Martine De Cock +5 more
doaj +1 more source
Privacy-preserving machine learning based on secure four-party computations
Безопасность информационных технологий, 2022 The paper is devoted to the analysis of privacy-preserving machine learning systems based on the concept of secure four-party computations. The advantages of the four-party computations over the two- and three-party computations are analyzed.
Sergey V. Zapechnikov
doaj +1 more source
Private feasible solution determination
IET Information Security, 2021 Applying secure multi‐party computation (SMC) to implement secure linear programming is an important problem of SMC. Private feasible solution determination means that one of the participants has a private value and the other participants have some ...
Xue Ge +3 more
doaj +1 more source
Quantum Security Multi-Party Extremum Protocol with Greenberger–Horne–Zeilinger States
TechnologiesSecure multi-party extremum, as a significant offshoot of secure multi-party computation, has extensive applications in various domains, including healthcare, financial transactions, market analysis, sports events, etc. Nevertheless, most existing secure
Ping Wang +4 more
doaj +1 more source
Advanced Materials, EarlyView.A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
All-or-nothing oblivious transfer based on the quantum one-way function
Frontiers in Physics, 2022 Oblivious transfer (OT) is one of the keystones of secure multi-party computation. It is generally believed that unconditionally secure OT is impossible.
Ping Wang +4 more
doaj +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Journal of King Saud University: Computer and Information SciencesWith the advancement of blockchain technology, smart contracts are increasingly applied in finance, supply chain, healthcare, and other domains. However, the demand for multi-party data joint analysis within these contracts faces challenges of privacy ...
Xin Liu +10 more
doaj +1 more source