지에 임의의 섭동을 추가해 모델 예측에 미치는 영향을 확인할 수는 있습니다. 그러나 불행히
도 적대적 상황에서는 그렇게 간단하지 않습니다.
DNN
은 학습 단계에서 훈련 데이터를 일반
화하므로 임의의 작은 섭동은 쉽게 복원할 수 있습니다. 따라서 이 정도의 섭동으로는 성공할
가능성이 작습니다. [그림
6
-
1
]을 보면 모든 픽셀의 색상값이 임의의 양만큼 점진적으로 섭동
된 경우에도 ...
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