Metadata-Version: 2.4
Name: data-poisoning-detector
Version: 0.1.1b3
Summary: Data Poisoning Detection using self-supervised learning techniques
Home-page: 
Author: Lakshan Costa
Author-email: lakshancosta2@gmail.com
License: MIT
Keywords: data poisoning,self-supervised learning,machine learning,security
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.11
Description-Content-Type: text/markdown
License-File: LICENCE.txt
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: flask
Requires-Dist: torch
Requires-Dist: torchvision
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: keywords
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: summary

**Status: Beta**
This is the python library that can be used for the api requests so that users can call to check for poisons in their own datasets.

```bash
from poison_detector import api
api.analyze_uci(73)
```


Change Log
==============

0.1.0 (19/01/2026)
--------------------
- Initial Release
- Fixed issue with calling the model file
