Google's Differential Privacy Library – Mirac Vuslat Basaran (Google)

Differential privacy helps organizations derive insights from data while simultaneously ensuring that those results do not allow any individual's data to be distinguished or re-identified. Sound interesting?
Come hear Mirac Vuslat Basaran (Google) talk about Google's Differential Privacy Library!

We will start with a brief introduction to differential privacy and why it might be useful for you. Then, we will go through what kind of tools and functionalities Google's Differential Privacy Library supports such as secure noise implementations, different aggregations, end-to-end systems that require only minimal knowledge of differential privacy, etc.
Finally, we'll talk about future plans for the library.

We'll finish with a short Q&A.

Mirac is a Software Engineer in the area of anonymization and differential privacy at Google. Before joining Google, he studied Computer Engineering (and Economics) at Bilkent University. Currently, he helps build and open source infrastructure for product teams to anonymize their data. He also consults product teams on anonymization and differential privacy.

URL to Google's Differential Privacy Library:
https://github.com/google/differential-privacy