A library aiding to create deanonymizers (attacks on privacy preserving machine learning models) for the AnoMed competition platform.
Project description
Deanonymizer
A library aiding to create attacks against anonymizers (privacy preserving machine learning models) for the AnoMed competition platform. Currently, only membership inference attacks are supported.
Usage Example
# TODO
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