# trusted-ai/adversarial-robustness-toolbox

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5,834 stars · 1,289 forks · Python · mit

## Links

- GitHub: https://github.com/Trusted-AI/adversarial-robustness-toolbox
- Homepage: https://adversarial-robustness-toolbox.readthedocs.io/en/latest/
- awesome-repositories: https://awesome-repositories.com/repository/trusted-ai-adversarial-robustness-toolbox.md

## Topics

`adversarial-attacks` `adversarial-examples` `adversarial-machine-learning` `ai` `artificial-intelligence` `attack` `blue-team` `evasion` `extraction` `inference` `machine-learning` `poisoning` `privacy` `python` `red-team` `trusted-ai` `trustworthy-ai`

## Tags

### Part of an Awesome List

- [Frameworks and Benchmarks](https://awesome-repositories.com/f/awesome-lists/ai/frameworks-and-benchmarks.md) — General-purpose library for adversarial and backdoor robustness testing.
- [Sample Filtering](https://awesome-repositories.com/f/awesome-lists/ai/sample-filtering.md) — Provides activation clustering to detect backdoors in deep networks.
- [Research Toolkits](https://awesome-repositories.com/f/awesome-lists/devtools/research-toolkits.md) — Library for adversarial robustness and backdoor defense evaluation.
- [Privacy and Safety](https://awesome-repositories.com/f/awesome-lists/security/privacy-and-safety.md) — Library for defending and evaluating ML model robustness.
- [Security And Privacy](https://awesome-repositories.com/f/awesome-lists/security/security-and-privacy.md) — Security library for machine learning models.