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- PipelineDP Public Forked from OpenMined/PipelineDP
PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
- PrivacyPreservingTechs Public
- privacy Public Forked from tensorflow/privacy
Library for training machine learning models with privacy for training data
- awesome-zero-knowledge-proofs Public Forked from matter-labs/awesome-zero-knowledge-proofs
A curated list of awesome things related to learning Zero-Knowledge Proofs (ZKP).
- differential-privacy Public Forked from google/differential-privacy
Google's differential privacy libraries.
- PyDP Public Forked from OpenMined/PyDP
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
- smartnoise-sdk Public Forked from opendp/smartnoise-sdk
Tools and service for differentially private processing of tabular and relational data
