Adversarial Perturbations

时间 2020-12-30

标签对抗学习机器学习繁體版

原文原文链接

这里写自定义目录标题 Adversarial Perturbations Adversarial Perturbations [2018CVPR] Generative Adversarial Perturbations 主要对对抗学习进行了系统的介绍，有以下分类： image-agnostic & image-dependent target attack & no-target attack

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1. Multi-Label Adversarial Perturbations
2. [paper]Universal adversarial perturbations
3. 《Universal adversarial perturbations》文献阅读笔记
4. 对抗机器学习——Universal adversarial perturbations
5. 关于Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks的理解
6. [paper]Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
7. Data-Free Adversarial Perturbations for Practical Black-Box Attack阅读笔记
8. Paper Review: Adversarial Examples
9. 【迁移攻击笔记】图像＆模型同时迁移2017Universal adversarial perturbations
10. Hidden Voice Attack | Adversarial Attack on Audio
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1. Multi-Label Adversarial Perturbations
2. [paper]Universal adversarial perturbations
3. 《Universal adversarial perturbations》文献阅读笔记
4. 对抗机器学习——Universal adversarial perturbations
5. 关于Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks的理解
6. [paper]Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
7. Data-Free Adversarial Perturbations for Practical Black-Box Attack阅读笔记
8. Paper Review: Adversarial Examples
9. 【迁移攻击笔记】图像＆模型同时迁移2017Universal adversarial perturbations
10. Hidden Voice Attack | Adversarial Attack on Audio

>>更多相关文章<<