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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373
14
장
머신러닝을 위한 데이터 개인 정보 보호
WARNING
_
K
-
익명성
흔히 익명화
anonymization
라고 알려진
K
-익명성(
https
://
oreil
.
ly
/
sxQet
)은 머신러닝 파이프라인에서 개
인 정보 보호를 강화하는 좋은 방법이 아닙니다.
K
-익명성은 데이터셋의 각 개인을 준식별자(성별, 인종, 우
편번호 등 개인을 간접적으로 식별할 수 있는 데이터)와 관련하여
k
–
1
과 구별할 수 없도록 요구합니다. 이는
데이터셋이 이 요구사항을 충족할 때까지 데이터를 집계하거나 제거함으로써 가능합니다. 이런 데이터 제거
는 일반적으로 머신러닝 모델의 정확도를 크게 떨어뜨립니다.
49
14.7
요약
개인 데이터나 민감한 데이터를 사용할 때는 신뢰할 수 있는 사용자, 필요한 모델 성능 수준,
사용자에게서 얻은 동의와 관련하여 사용자의 요구에 가장 적합한 데이터 개인 정보 보호 솔루
션을 선택해야 합니다.
이 장에서 설명하는 모든 기술은 아주 새로운 것이며, 프로덕션 용도는 아직 널리 보급되지 않
았습니다. 이 장에서 다룬 프레임워크를 사용해서 사용자의 개인 정보를 완벽하게 보호할 수
있다고 가정하지 마세요. 머신러닝 파이프라인에 개인 정보 보호를 추가하는 데는 항상 상당
한 추가 엔지니어링 노력이 수반됩니다. 개인 정보 보호 머신러닝 분야는 빠르게 발전하고 있
으며, ...
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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.