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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357
14
장
머신러닝을 위한 데이터 개인 정보 보호
이 장에서는 머신러닝 파이프라인에 적용되는 데이터 개인 정보 보호의 몇 가지 측면을 소개합
니다. 개인 정보 보호 머신러닝은 텐서플로 및 기타 프레임워크에 이제 막 통합되기 시작한 매
우 활발한 연구 분야입니다. 집필 당시 유망했던 기법들의 원리를 설명하고 머신러닝 파이프라
인에 이를 어떻게 활용할지에 관한 몇 가지 실용적인 예를 보여드리겠습니다.
이 장에서는 머신러닝에서의 개인 정보 보호에 도움이 되는 세 가지 주요 방법 (차등 개인 정보
보호, 연합 학습, 암호화된 머신러닝 )을 살펴보겠습니다.
14.1
데이터 개인 정보 보호 문제
데이터 개인 정보 보호는 신뢰에 관한 것으로, 사람들이 비공개하기를 원하는 데이터의 노출을
제한하는 일입니다. 개인 정보 보호 머신러닝에는 여러 가지 방법이 있으며, 여러분에게 가장
적절한 방법을 선택하려면 다음 질문에 답해야 합니다.
●
누구에게 데이터를 비공개하려 하나요?
●
시스템의 어느 부분을 비공개하고 어느 부분을 공개할 수 있나요?
●
데이터를 볼 수 있는 신뢰할 수 있는 당사자는 누구입니까?
머신러닝을 위한 데이터 개인 정보 보호
CHAPTER
14
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.