Search Results - "Secure Multi-Party Computation"

BMI: Bounded Mutual Information for Efficient Privacy-Preserving Feature Selection

Authors: Eklund, David Iacovazzi, Alfonso Wang, Han et al.

Source: Lecture Notes in Computer Science. :353-373

Subject Terms: Feature Selection, Mutual Information, Secure Multi-party Computation, Privacy

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-79062
https://ri.diva-portal.org/smash/get/diva2:2006969/FULLTEXT01.pdf

A Lightweight Mechanism for Dynamic Secret Sharing of Private Data by Constrained Devices

Authors: Daniel Morales Isaac Agudo Javier Lopez

Source: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga

Subject Terms: Privacy, Secret Sharing, Derecho a la intimidad, Internet of Things, Internet de los objetos, Secure Multi-Party Computation, Protocolos de comunicaciones

Access URL: https://hdl.handle.net/10630/38348

Rushing at SPDZ: On the Practical Security of Malicious MPC Implementations: On the Practical Security of Malicious MPC Implementations

Authors: Kyster, Alexander Nielsen, Frederik Huss Oechsner, Sabine et al.

Contributors: Kyster, Alexander Nielsen, Frederik Huss Oechsner, Sabine et al.

Source: Kyster, A, Nielsen, F H, Oechsner, S & Scholl, P 2025, Rushing at SPDZ : On the Practical Security of Malicious MPC Implementations. in M Blanton, W Enck & C Nita-Rotaru (eds), 2025 IEEE Symposium on Security and Privacy (SP). IEEE, San Francisco, pp. 2491-2508, 46th IEEE Symposium on Security and Privacy, SP 2025, San Francisco, United States, 12/05/2025. https://doi.org/10.1109/SP61157.2025.00176

Subject Terms: secure multi-party computation

Access URL: https://research.vu.nl/en/publications/51912561-af0e-4ca5-ba13-ef7ec0681261
https://doi.org/10.1109/SP61157.2025.00176
https://hdl.handle.net/1871.1/51912561-af0e-4ca5-ba13-ef7ec0681261
https://pure.au.dk/portal/en/publications/ae639914-5cae-489d-84a6-ee470c6d0d50
https://doi.org/10.1109/SP61157.2025.00176
http://www.scopus.com/inward/record.url?scp=105009322172&partnerID=8YFLogxK

POTA: A Pipelined Oblivious Transfer Acceleration Architecture for Secure Multi-Party Computation

Authors: Li Xiaolin Yan Wei Liu Hongwei et al.

Source: Transactions on Cryptographic Hardware and Embedded Systems, Vol 2025, Iss 3 (2025)

Subject Terms: TK7885-7895, secure multi-party computation, Computer engineering. Computer hardware, pipeline architecture, Information technology, T58.5-58.64, hardware accelerator, oblivious transfer

Access URL: https://doaj.org/article/8429217271bf422f849e1e1396941de3

Privacy-preserving computation scheme for the maximum and minimum values of the sums of keyword-corresponding values in cross-chain data exchange

Authors: Xin Liu Huize Gao Dan Luo et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-33 (2025)

Subject Terms: Blockchain, Secure multi-party computation, Cross-chain, Malicious model, Maximum and minimum values, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/e7c26b0eee7e4e0d8c81eaa2070ab024

Secure latent Dirichlet allocation

Authors: Thijs Veugen Vincent Dunning Michiel Marcus et al.

Contributors: Thijs Veugen Vincent Dunning Michiel Marcus et al.

Source: Frontiers in Digital Health, Vol 7 (2025)

Subject Terms: secure multi-party computation, Electronic computers. Computer science, Paillier crypto system, Medicine, latent Dirichlet allocation, QA75.5-76.95, Public aspects of medicine, RA1-1270, topic modelling, Shamir secret sharing

Access URL: https://doaj.org/article/69805e9b36cb457294f8cf971f2aab73
https://resolver.tno.nl/uuid:d199286a-db50-4599-b01d-ba92033202a1

Privacy preserving AI models for decentralized data management in federated information systems

Authors: Ogunbajo, Adeyinka Taiwo, Itunu Abidola, Adefemi Quddus et al.

Source: GSC Advanced Research and Reviews. 22:104-112

Subject Terms: Privacy-Preserving AI, FOS: Computer and information sciences, Machine Learning Privacy, Decentralized Data Management, Secure Multi-Party Computation, Distributed Computing, Federated Learning

A Comprehensive Review of Cryptographic Techniques in Federated Learning for Secure Data Sharing and Applications

Authors: Anik Sen Swee-Huay Heng Shing-Chiang Tan

Source: IEEE Access, Vol 13, Pp 135138-135164 (2025)

Subject Terms: secure multi-party computation, Secure data sharing, federated learning, differential privacy, homomorphic encryption, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Access URL: https://doaj.org/article/debd1c1ab94d47309b1ae3ba95ca4c39

Privacy-Preserving Techniques in Biometric Systems: Approaches and Challenges

Authors: K. Krishna Prakasha U. Sumalatha

Source: IEEE Access, Vol 13, Pp 32584-32616 (2025)

Subject Terms: Differential privacy, federated learning, homomorphic encryption, secure multi-party computation (SMPC), Electrical engineering. Electronics. Nuclear engineering, privacy-preserving authentication, anonymization, TK1-9971

Access URL: https://doaj.org/article/cd2071cb979f45328f995c13fc3a9590

Multiparty private summation protocol based on two-state quantum-mechanical system

Authors: Jason Lin Shao-Lun Huang Chun-Wei Yang et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-11 (2025)

Subject Terms: Secure multi-party computation, Quantum private summation, Modular arithmetic, Single photons, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/652b0420b9544e4cb895b2128dc011ea

Efficient and secure multi-party computation protocol supporting deep learning

Authors: Shancheng Zhang Gang Qu Zongyang Zhang et al.

Source: Cybersecurity, Vol 8, Iss 1, Pp 1-14 (2025)

Subject Terms: Shamir secret sharing, Secure multi-party computation, Deep learning, Convolution, Softmax, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2523-3246

Access URL: https://doaj.org/article/e09569f847864da683f1f76c8aca9773

Privacy-preserving multi-party data joint analysis scheme based on multiset operations in smart contracts

Authors: Xin Liu Huize Gao Dan Luo et al.

Source: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 5, Pp 1-27 (2025)

Subject Terms: Blockchain, Secure multi-party computation, Smart contracts, Multi-party multisets intersection, union and difference computation, Malicious model, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Access URL: https://doaj.org/article/352221a33175441c9bd145599eaee658

Privacy-preserving scheme multi-party cooperative cache sharing based on PSI in edge computing scenario

Authors: LAI Chengzhe YANG Ting QIN Baodong et al.

Source: Tongxin xuebao, Vol 46, Pp 78-91 (2025)

Subject Terms: private set intersection, oblivious pseudo-random function, edge computing, multi-party shared cache, secure multi-party computation, Telecommunication, TK5101-6720

File Description: electronic resource

Relation: https://doaj.org/toc/1000-436X

Access URL: https://doaj.org/article/4bf67c483bb34852af44940663a821d4

Extending the Security of SPDZ with Fairness

Authors: Veldhuizen, B. Veugen, P.J.M. Spini, G. et al.

Contributors: Veldhuizen, B. Veugen, P.J.M. Spini, G. et al.

Source: Proceedings on Privacy Enhancing Technologies. 2024:330-350

Subject Terms: Fairness, SPDZ, Secure Multi-Party Computation, Hybrid security, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice

Access URL: https://resolver.tno.nl/uuid:d557f430-80ef-49be-8d85-d735d298ea32

Cryptographic inference for large language model via secret sharing

Authors: CHENG Ke XIA Yuheng DAI Chuanyun et al.

Source: Tongxin xuebao, Vol 46, Pp 168-184 (2025)

Subject Terms: privacy-preserving, large language model, secret sharing, secure multi-party computation, cryptographic inference, Telecommunication, TK5101-6720

File Description: electronic resource

Relation: https://doaj.org/toc/1000-436X

Access URL: https://doaj.org/article/e325f767d11e4e3d9a84644ad2bdec92

Survey of research on efficient secure inference for deep learning

Authors: HU Peng SUN Lei HU Cuiyun et al.

Source: Tongxin xuebao, Vol 46, Pp 238-257 (2025)

Subject Terms: deep learning, privacy-preserving, secure inference, homomorphic encryption, secure multi-party computation, Telecommunication, TK5101-6720

File Description: electronic resource

Relation: http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2025086; https://doaj.org/toc/1000-436X

Access URL: https://doaj.org/article/3ef04d3752b44a239365b1e7b7595d27

A privacy-preserving class imbalance mitigation framework for face recognition

Authors: Amani Aldahiri Ibrahim Khalil Mohammad Saidur Rahman et al.

Source: High-Confidence Computing, Vol 6, Iss 1, Pp 100325- (2026)

Subject Terms: Class imbalance, Hierarchical federated learning, Privacy, Secure Multi-Party Computation, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2667295225000297; https://doaj.org/toc/2667-2952

Access URL: https://doaj.org/article/f9304fe30fef462592f8976029d237a9

Privacy-preserving data analysis

Authors: David Shamoo Excel

Source: World Journal of Advanced Research and Reviews. 23:597-609

Subject Terms: Privacy-Preserving Data Analysis, Secure Multi-Party Computation, Differential Privacy, Homomorphic Encryption, Data Obfuscation

PECSo: A Privacy Enhancing Framework for Applications in the Automotive Domain

Authors: Bella G. Esposito S. Mangano M. G. et al.

Subject Terms: Privacy, Secure Multi-Party Computation, Automotive Security, Federated Learning, Data Obfuscation

Access URL: https://hdl.handle.net/20.500.11769/673549

Efficient Secure Computation of Edit Distance on Genomic Data

Authors: Andrea Migliore Stelvio Cimato Gabriella Trucco

Source: Proceedings of the 10th International Conference on Information Systems Security and Privacy. :878-883

Subject Terms: Secure Multi-Party Computation, Garbled Circuit, Edit Distance

File Description: application/pdf

Access URL: https://hdl.handle.net/2434/1033488
https://doi.org/10.5220/0012459400003648