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secLinAlg

Secure Linear Algebra - The source code for the novel secure linear algebra operations proposed in the confenrece paper "Secure Matrix Operations for Machine Learning Classifications Over Encrypted Data in Post Quantum Industrial IoT" presented at the IEEE 2021 International Symposium on Networks, Computers and Communications (ISNCC'21) held in Dubai/UAE from October 31 to November 2, 2021.

Link to the paper: Coming soon

Video presentation of the paper: https://www.youtube.com/watch?v=4d3G5AmfbHU&list=PLN2gEfNq4GvfUYJx1aBE7R8bIAXt4JK2P&index=2

Open the solution using Visual Studio 2017. Set the SEALExamples as the start-up project. The implementation uses Microsoft's SEAL library v3.2 found in https://github.com/microsoft/SEAL

For any inqueries you can contact me by artrimq@gmail.com or artrimk@sabanciuniv.edu

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