CS231n Lecture 16 | Adversarial Examples and Adversarial Training

时间 2021-01-02

标签 cs231n 繁體版

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Lecture 16主要讲解了什么是对抗样本，为何会发生，它们是如何破坏机器学习系统的，如何防御它们，如何利用它们来提高机器学习性能，即使没有对抗样本。文章目录 What are adversarial examples? Why do they happen? How can they be used to compromise machine learning systems? What a

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1. Explaining and Harnessing Adversarial Examples
2. Paper Review: Adversarial Examples
3. Generating Adversarial Examples with Adversarial Networks
4. explaining and harnessing adversarial examples(FGSM)
5. [advGAN]Generating Adversarial Examples With Adversarial Networks
6. SPATIALLY TRANSFORMED ADVERSARIAL EXAMPLES
7. [paper]SPATIALLY TRANSFORMED ADVERSARIAL EXAMPLES
8. Generating Adversarial Examples with Adversarial Networks阅读笔记
9. Explaining and Harnessing Adversarial Examples 论文阅读
10. 《EXPLAINING AND HARNESSING ADVERSARIAL EXAMPLES》论文笔记
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1. Explaining and Harnessing Adversarial Examples
2. Paper Review: Adversarial Examples
3. Generating Adversarial Examples with Adversarial Networks
4. explaining and harnessing adversarial examples(FGSM)
5. [advGAN]Generating Adversarial Examples With Adversarial Networks
6. SPATIALLY TRANSFORMED ADVERSARIAL EXAMPLES
7. [paper]SPATIALLY TRANSFORMED ADVERSARIAL EXAMPLES
8. Generating Adversarial Examples with Adversarial Networks阅读笔记
9. Explaining and Harnessing Adversarial Examples 论文阅读
10. 《EXPLAINING AND HARNESSING ADVERSARIAL EXAMPLES》论文笔记

>>更多相关文章<<