Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

关于pytorch框架下如何攻击集成对抗训练的模型 #1

Open
jclh9506 opened this issue Jun 22, 2022 · 2 comments
Open

关于pytorch框架下如何攻击集成对抗训练的模型 #1

jclh9506 opened this issue Jun 22, 2022 · 2 comments

Comments

@jclh9506
Copy link

您好,不好意思,打扰您了。我有一些关于对抗攻击的问题想请教一下您。
在一些关于tranfer-based attack的论文中经常可以看到文中攻击的对抗训练防御的模型为adversarially trained Inception-v3 (Inc-v3adv), ensemble of three adversarially trained Inception-v3 models (Inc-v3ens3), ensemble of four adversarially trained Inception-v3 models (Inc-v3ens4), adversarially trained Inception-Resnet-v2 (IncRes-v2adv) and ensemble of three adversarially trained Inception-Resnet-v2 models (IncRes-v2ens3),这些经过对抗训练的模型都是tensorflow框架下的模型,我想问一下在pytorch框架下有公开的类似于上述模型的对抗训练模型吗?

@qilong-zhang
Copy link
Owner

qilong-zhang commented Jun 23, 2022

@jclh9506 你好,关于你说的对应pytorch的模型,我们转换过,你可以去这里获取。此外,也欢迎你能多多关注我们的工作(许多工作都在讨论黑盒迁移性)。

@jclh9506
Copy link
Author

好的,十分感谢您的回复!之前拜读过您的一些论文,实验效果很好,对我也很有启发。再次感谢您!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants