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Trusted-AI/adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Python MIT main Stack scanned README.md
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Stars
6,084
Forks
1,320
Watchers
101
Issues
17
Commits
13,057
Awesome lists
2

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Latest capture 2026-07-07 03:04

Star growth, last 7 days
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Commit velocity, last 7 days
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Stars since baseline
+83
Snapshot coverage
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5 captures since 2026-05-25

Stars from baseline +83

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Detected stack

Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.

Scanned 2026-07-07 03:04

Stack signals
1
Package managers
2
Manifest files
3
Dependencies
31

Frameworks and tools

  • pytest test framework · high confidence
PEP 517 pip python

Dependency files

3 manifests
  • pyproject.toml python ecosystem, 0 dependencies
  • setup.cfg python ecosystem, 0 dependencies
  • setup.py python ecosystem, 31 dependencies

Classification

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Topics
17
Tags
0
Stacks
1

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

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pytest

AI development signals

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Metadata

Language
Python
License
MIT
Default branch
main
Created
2018-03-15
First commit
2017-05-09
Last pushed
2025-12-12
GitHub updated
2026-07-06
Last synced
2026-07-07 03:04
Stack detected
2026-07-07 03:04
Archived
no

Links and files

GitHub Website

https://adversarial-robustness-toolbox.readthedocs.io/en/latest/

README

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