December 2020
Beginner to intermediate
256 pages
5h 15m
Korean
Content preview from 안전한 인공지능 시스템을 위한 심층 신경망 강화
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244
4
부
방어
11.1
윤곽을 인식해 견고성 향상하기
신경 과학자들과 심리학자들은 사람이 움직임과 물리적 탐험을 통해 우리를 둘러싸고 있는 주
변 세계를 이해한다는 사실을 일찍이 알았습니다. 아기는 자신이나 물체의 움직임에 따라 달라
지는 여러 각도에서 사물을 봅니다.
시각적 인식은 움직임과 시야각에 크게 좌우되므로 물체와 그 경계를 배울 수 있습니다.
DNN
이 객체의 윤곽에 더 중점을 두면 섭동 공격을 실행할 수 없습니다. 유사한 원리가 오디오에도
적용되는데, 특정 광범위한 시간 패턴과 상대적 피치가 이해를 결정합니다. 우리가 세상을 이
해하기 위해 감각 데이터에서 추출하는 두드러진 특성은
DNN
에 의해 추출되는 특성과 분명
히 다릅니다.
가이호스와 그의 연구원들
3
은 이미지넷 데이터 (예: 이미지넷
ResNet50
)로 훈련한 합성곱 신
경망은 객체의 윤곽선보다 이미지의 질감에 더 중점을 둔다고 주장합니다. 반대로, 인간은 결
정을 내릴 때 물체의 모양에 더 중점을 둡니다. 연구원들은 모양과 질감 정보가 서로 상충하는
이미지넷에서 생성한 이미지로 이주장을 테스트했습니다. 예를 들어, 논문에서 인용한 [그림
11
-
1
]은 질감과 모양이 서로 상충하는 이미지에서
ResNet50
이 어떻게 질감을 분류하는지 보
여줍니다.
그림
11-1
(
a
) 코끼리 피부 (
b
) 고양이 ...
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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.