对抗机器学习——Min Max模型(Towards Deep Learning Models Resistant to Adversarial Attacks)
Towards Deep Learning Models Resistant to Adversarial Attacks 论文URL： https://arxiv.org/pdf/1706.06083.pdf 论文代码： https://github.com/MadryLab/mnist_challenge 论文Key idea 本文提出了对抗机器学习领域里面鼎鼎大名的Min-max最优化框架，
相关文章
- 1. PGD:Towards Deep Learning Models Resistant to Adversarial Attacks
- 2. 对抗机器学习：Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples
- 3. [论文解读]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 4. 对抗机器学习基础（论文学习笔记三）
- 5. [转载][paper]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 6. 【对抗攻击】【综述】Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 7. 对抗机器学习：Generating Adversarial Malware Examples for Black-box Attacks Based on GAN
- 8. 对抗机器学习——Universal adversarial perturbations
- 9. 关于EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples的理解
- 10. 如何评估机器学习模型（How to Evaluate Machine Learning Models）
- 更多相关文章...
- • ASP.NET MVC - 模型 - ASP.NET 教程
- • 您已经学习了 XML Schema，下一步学习什么呢？ - XML Schema 教程
- • Kotlin学习（二）基本类型
- • Tomcat学习笔记（史上最全tomcat学习笔记）
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. PGD:Towards Deep Learning Models Resistant to Adversarial Attacks
- 2. 对抗机器学习：Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples
- 3. [论文解读]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 4. 对抗机器学习基础（论文学习笔记三）
- 5. [转载][paper]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 6. 【对抗攻击】【综述】Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 7. 对抗机器学习：Generating Adversarial Malware Examples for Black-box Attacks Based on GAN
- 8. 对抗机器学习——Universal adversarial perturbations
- 9. 关于EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples的理解
- 10. 如何评估机器学习模型（How to Evaluate Machine Learning Models）