Introducing Gretel's Privacy Filters

Gretel Synthetic has introduced new privacy protection mechanisms to enhance the safety of synthetic data. These mechanisms counter various adversarial attacks, including Membership Inference, Attribute Inference, Memorization Attacks, Model Inversion, and more. The company offers Overfitting Prevention, Similarity Filters, Outlier Filters, and Differential Privacy as privacy protection options. Users can configure these mechanisms through a configuration file to achieve desired levels of privacy protection based on their data sharing use case.

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