반응형
Adversarial attack이란 adversarial example이라고 하는 조작된 이미지로 학습되어 있는 모델에 추론을 방해하는 공격 기법을 말합니다.
Reference
https://arxiv.org/abs/1412.6572
Explaining and Harnessing Adversarial Examples
Several machine learning models, including neural networks, consistently misclassify adversarial examples---inputs formed by applying small but intentionally worst-case perturbations to examples from the dataset, such that the perturbed input results in th
arxiv.org
반응형
'Adversarial attck' 카테고리의 다른 글
| Adversarial Robustness in Object Detection (0) | 2023.07.20 |
|---|
댓글