Transactions on Cryptographic Hardware and Embedded Systems 2026
Decomposition of Large Look-Up Tables for Fast Homomorphic Evaluation
Sonia Belaïd
CryptoExperts, Paris, France
Nicolas Bon
CryptoExperts, Paris, France; DIENS, Ecole normale supérieure, PSL University, CNRS, Inria, Paris, France
Matthieu Rivain
CryptoExperts, Paris, France; DIENS, Ecole normale supérieure, PSL University, CNRS, Inria, Paris, France
Keywords: FHE, LUT, TFHE, Efficiency
Abstract
TFHE is one of the most promising scheme in the literature for an adoption of Fully Homomorphic Encryption (FHE) in practice. The core reason of its good performances is the powerful Programmable Bootstrapping (PBS) operation, that enables to homomorphically evaluate a Look-Up Table (LUT) on a ciphertext while simultaneously reducing its noise. However, the computational cost of running a PBS degrades severely when the size of the plaintext space increases, making it intractable for precision larger than 8 bits. So, evaluating a LUT larger than 28 is not considered possible with the “vanilla” TFHE scheme. In this paper, we propose a technique to accelerate LUT evaluation at high precision, that significantly enhances the state of the art. Our method beats the original PBS for spaces larger than 6 bits, and is competitive with the WoP-PBS (the reference of the state of art) while being conceptually simpler. Additionally, our method relies only on the standard PBS of TFHE, and therefore does not require the design of new advanced homomorphic operators, facilitating its integration into larger homomorphic compilation systems.
Publication
IACR Transactions on Cryptographic Hardware and Embedded Systems, Volume 2026, Issue 3
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Artifact number
tches/2026/a42
Artifact published
September 21, 2026
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License
This work is licensed under the 3-Clause BSD License.
Note that license information is supplied by the authors and has not been confirmed by the IACR.
BibTeX How to cite
Sonia Belaïd, Nicolas Bon, Matthieu Rivain. (2026). Decomposition of Large Look-Up Tables for Fast Homomorphic Evaluation. IACR Transactions on Cryptographic Hardware and Embedded Systems, 2026(3), 247–278. https://doi.org/10.46586/tches.v2026.i3.247-278. Artifact at https://artifacts.iacr.org/tches/2026/a42.