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This repository was archived by the owner on Sep 5, 2025. It is now read-only.
Is your feature request related to a problem? Please describe.
PrivacyRaven currently trains a substitute model on synthetic data generated separately from substitute training. However, many model extraction attacks train the substitute model adaptively using subset sampling strategies.
Describe the solution you'd like.
PrivacyRaven should allow users to specify a subset sampling strategy. By default, it should be assumed that a subset sampling strategy is not being used.
Detail any additional context.
Multiple functions in extraction/attacks.py as well as the core classes for membership inference and model extraction need to be changed in addition to the attributes of the core model extraction class.