Modes of Operation Suitable for Computing on Encrypted Data by Dragos Rotaru, Nigel P. Smart, Martijn Stam

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Efficient and privacy-preserving multi-party skyline queries in online medical primary diagnosis by Wanjun Hao, Shuqin Liu, Chunyang Lv, Yunling Wang, Jianfeng Wang

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Research and application of innovative models for public data integration based on secure multi-party computation by Jiahe JIN, Chengyao ZHAO, Haoze QIU, Peng LIU

Subjects: “…secure multi-party computation;public data;innovative integration…”
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Secure Statistical Analysis of Distributed Databases, Emphasizing What We Don't Know by Alan F. Karr

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SPIKE: secure and private investigation of the kidney exchange problem by Timm Birka, Kay Hamacher, Tobias Kussel, Helen Möllering, Thomas Schneider

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Privacy-Preserving Multi-Party Directory Services by Yuzhe Tang, Kai Li, Katchaguy Areekijseree, Shuigeng Zhou, Liting Hu

Subjects: “…Secure Multi-party Computation…”
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Privacy-preserving dataset combination and Lasso regression for healthcare predictions by Marie Beth van Egmond, Gabriele Spini, Onno van der Galien, Arne IJpma, Thijs Veugen, Wessel Kraaij, Alex Sangers, Thomas Rooijakkers, Peter Langenkamp, Bart Kamphorst, Natasja van de L’Isle, Milena Kooij-Janic

Subjects: “…Secure multi-party computation…”
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Using Secure Multi-Party Computation to Protect Privacy on a Permissioned Blockchain by Jiapeng Zhou, Yuxiang Feng, Zhenyu Wang, Danyi Guo

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CE-Fed: Communication efficient multi-party computation enabled federated learning by Renuga Kanagavelu, Qingsong Wei, Zengxiang Li, Haibin Zhang, Juniarto Samsudin, Yechao Yang, Rick Siow Mong Goh, Shangguang Wang

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A Blockchain-Based Secure Multi-Party Computation Scheme with Multi-Key Fully Homomorphic Proxy Re-Encryption by Yongbo Jiang, Yuan Zhou, Tao Feng

Subjects: “…secure multi-party computation…”
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Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy by Bart Kamphorst, Thomas Rooijakkers, Thijs Veugen, Matteo Cellamare, Daan Knoors

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PriRepVGG: Privacy-Preserving 3-Party Inference Framework for Image-Based Defect Detection by Jiafu Liu, Zhiyuan Yao, Shirui Guo, Hongjun Xie, Genke Yang

Subjects: “…multi-party computation…”
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Survey on privacy protection in non-aggregated data sharing by Youhuizi LI, Yuyu YIN, Honghao GAO, Yi JIN, Xinheng WANG

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Incentive Mechanism for Privacy-Preserving Collaborative Routing Using Secure Multi-Party Computation and Blockchain by Chaojie Wang, Srinivas Peeta

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Privacy-Preserving Contrastive Explanations with Local Foil Trees by Thijs Veugen, Bart Kamphorst, Michiel Marcus

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Survey on privacy protection in non-aggregated data sharing by Youhuizi LI, Yuyu YIN, Honghao GAO, Yi JIN, Xinheng WANG

Subjects: “…privacy protection;data sharing;federated learning;secure multi-party computation…”
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Fully privacy-preserving distributed optimization in power systems based on secret sharing by Nianfeng Tian, Qinglai Guo, Hongbin Sun, Xin Zhou

Subjects: “…secure multi-party computation…”
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Towards a Modular On-Premise Approach for Data Sharing by João S. Resende, Luís Magalhães, André Brandão, Rolando Martins, Luís Antunes

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Secure Multi-Party Computation for Machine Learning: A Survey by Ian Zhou, Farzad Tofigh, Massimo Piccardi, Mehran Abolhasan, Daniel Franklin, Justin Lipman

Subjects: “…Multi-party computation…”
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A New Method to Compute Ratio of Secure Summations and Its Application in Privacy Preserving Distributed Data Mining by Yan Shao, Wenjing Hong, Zhanjun Li

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