  We present AI-SDC, an integrated suite of open source Python tools to
facilitate Statistical Disclosure Control (SDC) of Machine Learning (ML) models
trained on confidential data prior to public release. AI-SDC combines (i) a
SafeModel package that extends commonly used ML models to provide ante-hoc SDC
by assessing the vulnerability of disclosure posed by the training regime; and
(ii) an Attacks package that provides post-hoc SDC by rigorously assessing the
empirical disclosure risk of a model through a variety of simulated attacks
after training. The AI-SDC code and documentation are available under an MIT
license at https://github.com/AI-SDC/AI-SDC.
