Factual package intelligence from PyPI

versatile-evasion-attacks 1.1.5 package intelligence

Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on heuristic optimization algorithms, and complex cost functions to give reliable results for tabular pr

pip install versatile-evasion-attacks

Current version
1.1.5
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
125.1 KiB
Release history
10 releases with files
Median release cadence
0 days

versatile-evasion-attacks dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. matplotlib
  3. tqdm
  4. scikit-learn
  5. xgboost
  6. lightgbm
  7. pandas
  8. seaborn
  9. optuna

Compatibility and release files

versatile-evasion-attacks publishes 1 wheel and 1 source archive for version 1.1.5. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.6, 3.7, 3.8, 3.9.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .