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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360
살아 움직이는 머신러닝 파이프라인 설계
14.2
차등 개인 정보 보호
머신러닝 파이프라인에서 개인 정보 보호를 강화해야 할 필요성을 확인했을 때, 가능한 한 많
은 데이터 유틸리티를 유지하면서 개인 정보 보호를 강화하는 데 도움이 되는 다양한 방법이
있습니다. 첫 번째로 논의할 방법은
차등 개인 정보 보호
differential
privacy
(
DP
)
40
입니다.
DP
는 데
이터셋의 쿼리나 변환이 해당 데이터셋에 사람이 있는지를 밝혀서는 안 된다는 아이디어를 공
식화한 방법입니다. 데이터셋에 포함됨으로써 개인이 경험하는 개인 정보 보호 손실에 관한 수
학적 측정값을 제공하고 노이즈 추가에 따른 개인 정보 손실을 최소화합니다.
차등 개인 정보 보호에서는 데이터 소유자나 큐레이터가 데이터 주제에 대해 한 약속을 설명합니다.
“다른 연구, 데이터셋, 정보 출처가 무엇이든 간에 데이터를 어떤 연구 또는 분석에도 사용할 수 있도
록 허용함으로써 부정적인 영향을 받지 않습니다.”
신시아 드워크
Cynthia
Dwork
41
달리 말하면, 한 사람이 해당 데이터셋에서 제거되더라도 개인 정보를 존중하는 데이터셋의 변
환은 변경되지 않아야 합니다. 머신러닝 모델에서 모델이 개인 정보 보호를 염두에 두고 학습
을 받았다면, 한 사람을 학습 세트에서 제거하더라도 모델이 만드는 예측이 ...
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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.