October 2021
Beginner to intermediate
416 pages
9h 3m
Korean
Content preview from 살아 움직이는 머신러닝 파이프라인 설계: 텐서플로와 함께하는 머신러닝 프로젝트 자동화
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369
14
장
머신러닝을 위한 데이터 개인 정보 보호
PySyft
(
https
://
oreil
.
ly
/
qlAWh
)는
OpenMined
조직에서 개발한 개인 정보 보호 머신
러닝용 오픈 소스 파이썬 플랫폼입니다. 이는 데이터를 집계하기 위해
SMPC
(다음 절에서 자
세히 설명함 )를 사용하여
FL
을 구현하는 작업을 포함합니다. 원래는 파이토치 모델을 지원하
려고 개발되었지만, 텐서플로 버전도 출시되었습니다 (
https
://
oreil
.
ly
/
01yw2
).
14.5
암호화된 머신러닝
암호화된 머신러닝은 개인 정보 보호 머신러닝의 또 다른 영역으로, 현재 연구자와 실무자 모
두에게 많은 관심을 받고 있습니다. 암호화 커뮤니티의 기술과 연구를 기반으로 이런 기술을
머신러닝에 적용합니다. 지금까지 채택한 주요 방법은 동형 암호화
homomorphic
encryption
(
HE
)와
SMPC
Secure
Multiparty
Computing
입니다. 이런 기술을 사용하는 방법에는 두 가지가 있습니다. 일반
텍스트 데이터로 이미 학습을 받은 모델을 암호화하는 방법과 전체 시스템을 암호화하는 방법
(학습 중에 데이터를 암호화된 상태로 유지해야 할 때 )입니다.
HE
는 공개 키 암호화와 유사하지만 데이터를 해독할 필요가 없다는 차이가 있습니다. 암호화
된 데이터에 대해 계산 (예: 머신러닝 모델에서 예측 얻기)을 수행할 수 있습니다. 사용자는 로
컬에 저장된 암호화 키를 사용하여 데이터를 암호화된 형식으로 제공한 다음 암호화된 예측을
수신합니다. 그리고 이를 해독하여
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and much more.
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.