This blog posts shows how to perform CKKS encoding and encryption, followed by decryption and decoding to obtain the original vector of complex numbers. The code uses the R package polynom for polynomials. It also uses the HomomorphicEncryption package. If you are reading this before 30 December 2023, you need to install the development version of HomomorphicEncryption from Github. If you are reading it from 30 December 2023, you can install it from CRAN (make sure it is up to date).

My new Python package HEtools is now on the Python Package Index (PyPI): https://pypi.org/project/HEtools/ The package implements functions for Fully Homomorphic Encryption Development takes place on Github: https://github.com/bquast/py-HEtools Bugs can also be filed on Github: https://github.com/bquast/py-HEtools/issues

My new Python package libactivation is now on the Python Package Index (PyPI): https://pypi.org/project/libactivation/ The package implements a series of activation functional - sigmoidal and others, i.a. the Rectified Linear Unit (ReLU) - as well as their derivatives, for various machine learning purpose, such as neural networks. Development takes place on Github: https://github.com/bquast/libactivation Bugs can also be filed on Github: https://github.com/bquast/libactivation/issues Much of the inspiration came from my 2015 R package sigmoid, which was split out of my Recurrent Neural Network framework RNN:

My new R package transformer is now on CRAN: https://cran.r-project.org/package=transformer The package implements a full transformer architecture, based on the attention mechanism that I previously pushed as an R package: https://cran.r-project.org/package=attention

This is an implementation of the BFV schema in R: https://gist.github.com/bquast/47d4e1363158e80bf2dd5376e4625b1c