Privacy

This article clarifies some common misconceptions about differential privacy and what it guarantees.

Implementing a practical attack to measure un-intended memorization in synthetic data models.

We’re going to train and build our synthetic dataset off of a real-time public feed of e-bike ride-share data called the GBFS (General Bike-share Feed)

How to utilize Gretel to create high-quality synthetic tabular data that you can use as training data for a classification model in Vertex AI.

Gretel Tabular DP is a fast and powerful new model to generate high quality tabular synthetic data with mathematical guarantees of privacy

Gretel’s suite of privacy-enhancing tools and generative AI models are now available on Google Cloud Marketplace.

Here's how a hospital uses Gretel to help forecast staffing and resource needs for their emergency care unit, and to identify emerging trends in outbreaks.

Discover the streamlined Gretel Python SDK. Start building with synthetic data in just 3 lines of code 🚀

How differential privacy can generate provably private synthetic text data for a variety of enterprise AI applications.