WTFHE: neural-netWork-ready Torus Fully Homomorphic Encryption

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00341864" target="_blank" >RIV/68407700:21230/20:00341864 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21240/20:00341864

Result on the web

<a href="https://ieeexplore.ieee.org/document/9134331" target="_blank" >https://ieeexplore.ieee.org/document/9134331</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MECO49872.2020.9134331" target="_blank" >10.1109/MECO49872.2020.9134331</a>

Result language

angličtina

Original language name

WTFHE: neural-netWork-ready Torus Fully Homomorphic Encryption

Original language description

We are currently witnessing two arising trends, which have a huge potential to threaten our privacy: the invasive sensors of the Internet of Things (IoT), and the powerful data mining techniques, in particular we focus on Neural Networks (NN's). For this reason, powerful countermeasures must be called for service: namely end-to-end encryption. Such an approach however requires an encryption scheme that enables processing of the encrypted data - this is known as the Fully Homomorphic Encryption (FHE). In this paper, we revisit an FHE scheme named TFHE, which is suitable for evaluation of NN's over encrypted input data, and we suggest to incorporate a verifiability feature to the evaluation process. Since there already exist other variants of the original TFHE scheme-currently only implemented in C++, which is rigid-we further introduce a library for rapid prototyping of new concepts related to TFHE. Our library is implemented in Ruby, which is an interpreted language and which goes with an interactive shell. Hence any new method can be speedily verified before implemented as a high-performance library.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 9th Mediterranean Conference on Embedded Computing - MECO'2020

ISBN

978-1-7281-6949-1

ISSN

—

e-ISSN

2637-9511

Number of pages

5

Pages from-to

434-438

Publisher name

Institute of Electrical and Electronics Engineers, Inc.

Place of publication

—

Event location

Budva

Event date

Jun 8, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000612854100100