Open lucascionis opened 1 year ago
Merging #165 (dfe601c) into master (936e86d) will decrease coverage by
0.63%
. The diff coverage is57.59%
.
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@@ 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
Files | Coverage Δ | |
---|---|---|
torchattacks/__init__.py | 100.00% <100.00%> (ø) |
|
torchattacks/attacks/fmn.py | 57.32% <57.32%> (ø) |
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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?
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 😁.
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.