Trusted-AI / adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Why this job: matched by what the repo talks about: security, red, team, toolbox
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 6,312
- +14 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 1.20.1
- Released 16 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 99% closed
- 9 still open
- Pull requests
- 1,334 merged
- 20 waiting
- Releases
- 64
- 0 in the last year
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| Koukyosyumei / AIJack | 429 | 5 months ago | Apache-2.0 | No downloads |
| w4-advisory / plexiglass | 156 | 8 days ago | Apache-2.0 | No downloads |
| safreita1 / TIGER | 166 | 2 months ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 100%
- Shell <1%
- Dockerfile <1%
- Makefile <1%
Topics
- python
- attack
- adversarial-machine-learning
- poisoning
- trusted-ai
- artificial-intelligence
- extraction
- adversarial-attacks
- adversarial-examples
- evasion
- inference
- privacy
Project record
- JobAI security
- StatusListed
- Commits13,194
- Forks1,356
- Watching102
- Stars in 28 days+43
- CreatedMar 15, 2018
- First seen by usNov 7, 2026
- CheckedNov 12, 2026