pralab / secml_malware
Create adversarial attacks against machine learning Windows malware detectors
Why this job: works in the areas we cover, but does not say which job it does
What it does
Python library for creating adversarial attacks against Windows Malware detectors. Built on top of SecML, SecML Malware includes most of the attack proposed in the state of the art. We include a pre-trained MalConv model trained by EndGame, used for testing.
Get started
conda install -c conda-forge lightgbm- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 254
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.4
- Released 23 months ago
- Built with
- Python
- 86% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 79% closed
- 12 still open
- Pull requests
- 5 merged
- 3 waiting
- Releases
- 10
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| QData / TextAttack | 3,482 | 2 months ago | MIT | No downloads |
| slrbl / Intrusion-and-anomaly-detection-with-machine-learning | 175 | 14 days ago | MIT | No downloads |
| AndrewDryga / emisar | 375 | 2 days ago | Custom | No downloads |
More: languages, topics and project record
Languages
- Python 86%
- Jupyter Notebook 14%
- Dockerfile <1%
Topics
- adversarial-machine-learning
- infosec
- python
- attack
- machine-learning
- security
Project record
- JobOther AI tools
- StatusListed
- Commits217
- Forks55
- Watching8
- Stars in 28 days+3
- CreatedDec 19, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
