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

some problems with this project #2

Open
xyf-lsy opened this issue Oct 17, 2020 · 1 comment
Open

some problems with this project #2

xyf-lsy opened this issue Oct 17, 2020 · 1 comment

Comments

@xyf-lsy
Copy link

xyf-lsy commented Oct 17, 2020

Hello, I recently read your article carefully, but I am curious why the direct attack success rate in embedding is so low, and I also tried the round operation, but found that basically all the words are rounded back to the original Words,I wonder what techniques did you use?

@gongzhitaao
Copy link
Owner

gongzhitaao commented Oct 18, 2020

Hello, lousylove,

It's been a long time. I remember I tested with three methods, see some results here: https://gongzhitaao.org/adversarial-text/ I remember DeepFool was the best. On that page, the numbers are accuracies before and after knn rounding.

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