-
Notifications
You must be signed in to change notification settings - Fork 353
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
Add Fast Minimum-Norm Attack (FMN) #165
base: master
Are you sure you want to change the base?
Conversation
- Add documentation - Add support functions
- Update forward function
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Just some minor issues, waiting for maintainer approval for auto testing.
Codecov Report
❗ Your organization needs to install the Codecov GitHub app to enable full functionality. @@ Coverage Diff @@
## master #165 +/- ##
==========================================
- Coverage 73.37% 72.74% -0.63%
==========================================
Files 44 45 +1
Lines 3827 3985 +158
Branches 578 590 +12
==========================================
+ Hits 2808 2899 +91
- Misses 862 925 +63
- Partials 157 161 +4
Continue to review full report in Codecov by Sentry.
|
Hello @rikonaka, thank you for maintaining this library. Do you have any update on this PR? Is there something that we can do to speed up the merge? |
Well, all we can do now is wait 🤣. But if you have other urgent reasons for the merge, you can send an email to Harry and ask him to help merge it. As far as I know, this process may takes about 3 to 6 months. In the meantime, you can continue to check and patch the code 😁. |
Good, we will wait. Thank you ;) |
PR Type and Checklist
What kind of change does this PR introduce?
model
.supported_mode
whether the attack supports targeted mode.Fast Minimum-Norm Attack Info
Fast Minimum-Norm Attack PyTorch implementation; works with PyTorch optimizers and schedulers and supports default and targeted mode, with L0, L1, L2 and Linf norms.
Original Code
Paper
Citation.