jeromerony / adversarial-library
Library containing PyTorch implementations of various adversarial attacks and resources
Why this job: works in the areas we cover, but does not say which job it does
What it does
This library contains various resources related to adversarial attacks implemented in PyTorch. It is aimed towards researchers looking for implementations of state-of-the-art attacks.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 168
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.2.8
- Released 4 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 5 merged
- 0 waiting
- Releases
- 12
- 3 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- adversarial-attacks
- adversarial-examples
- machine-learning
- pytorch
Project record
- JobOther AI tools
- StatusListed
- Commits193
- Forks21
- Watching3
- Stars in 28 days0
- CreatedNov 24, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026