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June 2022

Blind rotation in fully homomorphic encryption with extended keys

Marc Joye and Pascal Paillier

To appear

December 2021

Balanced non-adjacent forms



— Marc Joye

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December 2021

Improved programmable bootstrapping with larger precision and efficient arithmetic circuits for TFHE

Ilaria Chillotti, Damien Ligier, Jean-Baptiste Orfila, and Samuel Tap

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July 2021

Programmable bootstrapping enables efficient homomorphic inference of deep neural networks

— Ilaria Chillotti, Marc Joye, and Pascal Paillier

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December 2020

CONCRETE: Concrete Operates oN Ciphertexts Rapidly by Extending TfhE

— Ilaria Chillotti, Marc Joye, Damien Ligier, Jean-Baptiste Orfila, and Samuel Tap

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December 2020

New challenges for fully homomorphic encryption

— Ilaria Chillotti, Marc Joye, and Pascal Paillier

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august 2020

SANNS: Scaling up secure approximate k-nearest neighbors search.

Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya Razenshteyn, and M. Sadegh Riazi

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We’re building
products to make
FHE programming
fast and easy

Concrete Numpy

Concrete Numpy is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists.

RESOURCES

Explore more content about the Concrete Numpy library

Announcing Concrete ML v0.2

We are announcing the release of Concrete ML as a public alpha. The package is built on top of Concrete Numpy.

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Quantization of Neural Networks for Fully Homomorphic Encryption

Machine Learning and the Need for Privacy‍

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Privacy-preserving insurance quotes

A tutorial on how to build an FHE-enabled insurance incident predictor.

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Hummingbird

Concrete Numpy is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists.

RESOURCES

Explore more content about the Hummingbird library

Announcing Concrete ML v0.2

We are announcing the release of Concrete ML as a public alpha. The package is built on top of Concrete Numpy.

Read Article

Quantization of Neural Networks for Fully Homomorphic Encryption

Machine Learning and the Need for Privacy‍

Read Article

Privacy-preserving insurance quotes

A tutorial on how to build an FHE-enabled insurance incident predictor.

Read Article