This is the Linux app named Fully Homomorphic Encryption whose latest release can be downloaded as Transpilersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Fully Homomorphic Encryption with OnWorks for free.
Suivez ces instructions pour exécuter cette application :
- 1. Téléchargé cette application sur votre PC.
- 2. Entrez dans notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous voulez.
- 3. Téléchargez cette application dans ce gestionnaire de fichiers.
- 4. Démarrez l'émulateur en ligne OnWorks Linux ou Windows en ligne ou l'émulateur en ligne MACOS à partir de ce site Web.
- 5. Depuis le système d'exploitation OnWorks Linux que vous venez de démarrer, accédez à notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous souhaitez.
- 6. Téléchargez l'application, installez-la et exécutez-la.
CAPTURES D'ÉCRAN:
Cryptage entièrement homomorphe
DESCRIPTION:
This repository gathers Google’s practical tooling for Fully Homomorphic Encryption (FHE), focused on making it possible to run computations on encrypted data without ever decrypting it. At its core is a “transpiler” that converts ordinary functions (typically written in a restricted subset of C++ or similar) into FHE circuits, plus backends that execute those circuits with different FHE libraries. The workflow usually mirrors normal software development: write and test a cleartext implementation, run a simulator to validate logic and performance characteristics, then compile to an encrypted form to run with real FHE parameters. The project includes benchmarking harnesses, examples, and tutorials that demystify parameter selection, gate costs, and latency/throughput trade-offs. Multiple runtimes and backends are supported so teams can choose Boolean or integer schemes depending on accuracy and speed needs.
Caractéristiques
- Source-to-FHE transpiler that turns functions into encrypted circuits
- Pluggable backends targeting different FHE libraries and schemes
- Cleartext simulation for correctness before encrypted execution
- Benchmarking utilities to profile latency and circuit size
- Example libraries and tutorials for common arithmetic and ML kernels
- Parameterization helpers for security levels and precision
Langage de programmation
C + +
Catégories
This is an application that can also be fetched from https://sourceforge.net/projects/fully-homomorph-encrypt.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.