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Black Box Differential Privacy Auditing

We present a practical method to audit the differential privacy (DP) guarantees of a machine learning model using a small hold-out dataset that is not exposed to the model during the training.

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Cite this as

Antti Koskela, Jafar Mohammadi (2025). Dataset: Black Box Differential Privacy Auditing. https://doi.org/10.57702/d6cxenv2

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Additional Info

Field	Value
Created	January 2, 2025
Last update	January 2, 2025
Defined In	https://doi.org/10.48550/arXiv.2406.04827
Author	Antti Koskela
More Authors	Jafar Mohammadi