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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361
14
장
머신러닝을 위한 데이터 개인 정보 보호
0.5
0.5
0.5
0.5
질문
진실
예
아니오
랜덤 선택
그림
14-1
무작위 응답 흐름도
이런 무작위 변환은
DP
의 핵심입니다.
NOTE
_ 한 사람당 하나의 학습 예제를 가정합니다
이 장에서는 데이터셋의 각 학습 예제가 한 사람과 연관되었거나 한 사람에게서 수집했다고 가정합니다.
14.2.1
로컬 및 글로벌 차등 개인 정보 보호
DP
는 두 가지 주요 방식(로컬, 글로벌 )으로 나눌 수 있습니다. 로컬
DP
에서는 (앞선 무작위
응답 예제에서와 같이) 개별 레벨에서 노이즈나 무작위성을 추가하므로 개인과 데이터 수집자
간의 프라이버시가 유지됩니다. 글로벌
DP
에서는 전체 데이터셋의 변환에 노이즈를 추가합니
다. 데이터 수집기는 원시 데이터를 신뢰하지만 변환 결과는 개인에 관한 데이터를 드러내지
않습니다.
글로벌
DP
에는 로컬
DP
보다 노이즈를 적게 추가해야 하므로 유사한 개인 정보 보호 보장을
위한 질의의 효용성이나 정확성이 향상됩니다. 글로벌
DP
의 단점은 데이터 수집기를 신뢰해
야 한다는 점입니다. 반면, 로컬
DP
에서는 개별 사용자만 자신의 원시 데이터를 볼 수 있죠.
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and much more.
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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.