SAGE Privacy Framework - Differential privacy, federated learning, machine unlearning, PII detection
Project description
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
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