sage-privacy
Privacy protection algorithms for SAGE, including differential privacy and machine unlearning.
PyPI Package: isage-privacy
Boundary
- Root package (
sage_libs.sage_privacy) exposes only stable metadata and explicit registration API. - Research implementations are accessed from subpackages:
sage_libs.sage_privacy.dpsage_libs.sage_privacy.unlearning
- No root-level re-export of concrete research implementations.
Installation
pip install isage-privacy
Usage
from sage_libs.sage_privacy import register_to_sage
from sage_libs.sage_privacy.dp import GaussianMechanism
from sage_libs.sage_privacy.unlearning import GradientAscentUnlearner
register_to_sage()
mechanism = GaussianMechanism(epsilon=1.0)
unlearner = GradientAscentUnlearner()
License
MIT
Metadata
Release files for isage-privacy 0.1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| isage_privacy-0.1.0.2.tar.gz | 30.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| isage_privacy-0.1.0.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 70.8 kB
Release files / isage_privacy-0.1.0.2.tar.gz
| Download URL | isage_privacy-0.1.0.2.tar.gz |
|---|---|
| Size | 30.7 kB |
| Tags | Source |
|
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Release files / isage_privacy-0.1.0.2-py2.py3-none-any.whl
| Download URL | isage_privacy-0.1.0.2-py2.py3-none-any.whl |
|---|---|
| Size | 40.1 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/6.2.0 CPython/3.11.14
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