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엠즈푸드시스템
대리 • GOT
수요예측 시스템의 구축 및 데이터 분석
(1년 5개월 | 정규직)
CERN
researcher • openlab
QKD 시뮬레이터
Homomorphic Encryption 시스템 구축
Quatum Computing을 활용한 GAN
(1년 | 계약직)
Desilo
Research Engineer • Research
Homomorphic Encryiton Library 연구 및 개발
(3년 6개월 | 정규직)
프로젝트
CERN
Quantumacy
This is the official repository of the Quantumacy project, for more information check our website.
Content
QKDSimkit is a simulator for quantum key distribution, it allows to exchange symmetric keys, there are two different interfaces: peer-to-peer and client-server; QKDSimkit
Fork of Openfl that integrates QKDSimkit in its transport protocol; openfl-develop
Some of the deep learning models we used in our use cases, for example, chestscan is used in openfl-develop; dl_models
The Homomorphic Encryption Inference Use Case proposes an innovative setup where a two-fold quantum resilient encryption setup (QKD + Homomorphic Encryption) is used for privacy-preserving machine learning inference. It is based on 3 entities, client, storage, and server (processing). homomorphic-encryption-use-case
Desilo
Liberate.FHE
Liberate.FHE is an open-source Fully Homomorphic Encryption (FHE) library for bridging the gap between theory and practice with a focus on performance and accuracy.
Liberate.FHE is designed to be user-friendly while delivering robust performance, high accuracy, and a comprehensive suite of convenient APIs for developing real-world privacy-preserving applications.
Liberate.FHE is a pure Python and CUDA implementation of FHE. So, Liberate.FHE supports multi-GPU operations natively.
The main idea behind the design decisions is that non-cryptographers can use the library; it should be easily hackable and integrated with more extensive software frameworks.
Additionally, several design decisions were made to maximize the usability of the developed software:
Make the number of dependencies minimal.
Make the software easily hackable.
Set the usage of multiple GPUs as the default.
Make the resulting library easily integrated with the pre-existing software, especially Artificial Intelligence (AI) related ones.
교육
아주대
대학원(석사) | 데이터사이언스
2017.09. ~ 2019.08.
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