Read the latest publications by the people at Zama
want to Join our research team?
See the job openingsDecember 2022
Parameter Optimization and Larger Precision for (T)FHE
— Loris Bergerat, Anas Boudi, Quentin Bourgerie, Ilaria Chillotti, Damien Ligier, Jean-Baptiste Orfila, Samuel Tap
SEPTEMBER 2022 — CHES
SoK: Fully homomorphic encryption over the [discretized] torus
— Marc Joye
SEPTEMBER 2022 — SCN
Scooby: Improved multi-party homomorphic secret sharing based on FHE
— Ilaria Chillotti, Emmanuela Orsini, Peter Scholl, Nigel Smart, and Barry Van Leeuwen
June 2022 — CSCML
Blind rotation in fully homomorphic encryption with extended keys
— Marc Joye and Pascal Paillier
December 2021 — ASIACRYPT
Balanced non-adjacent forms
— Marc Joye
December 2021 — ASIACRYPT
Improved programmable bootstrapping with larger precision and efficient arithmetic circuits for TFHE
— Ilaria Chillotti, Damien Ligier, Jean-Baptiste Orfila, and Samuel Tap
July 2021 — CSCML
Programmable bootstrapping enables efficient homomorphic inference of deep neural networks
— Ilaria Chillotti, Marc Joye, and Pascal Paillier
December 2020 — WAHC
CONCRETE: Concrete Operates oN Ciphertexts Rapidly by Extending TfhE
— Ilaria Chillotti, Marc Joye, Damien Ligier, Jean-Baptiste Orfila, and Samuel Tap
December 2020 — PPML
New challenges for fully homomorphic encryption
— Ilaria Chillotti, Marc Joye, and Pascal Paillier
august 2020 — USENIX
SANNS: Scaling up secure approximate k-nearest neighbors search
— Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya Razenshteyn, and M. Sadegh Riazi
We’re building
products to make
FHE programming
fast and easy
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.
Read Article.png)
Quantization of Neural Networks for Fully Homomorphic Encryption
Machine Learning and the Need for Privacy
Read ArticlePrivacy-preserving insurance quotes
A tutorial on how to build an FHE-enabled insurance incident predictor.
Read ArticleExplore 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 ArticleQuantization of Neural Networks for Fully Homomorphic Encryption
Machine Learning and the Need for Privacy
Read ArticlePrivacy-preserving insurance quotes
A tutorial on how to build an FHE-enabled insurance incident predictor.
Read Article