Now in the Collaboration Space: Algorithms from NIST’s Differential Privacy Synthetic Data Challenge
Competitors in NIST’s 2018 Public Safety Communications Research Differential Privacy Synthetic Data Challenge have gone open-source and shared their algorithms via the Privacy Engineering Collaboration Space! This challenge asked competitors to design and implement a synthetic data generation algorithm and mathematically prove that their algorithm satisfies differential privacy.
NIST's Privacy Engineering Collaboration Space is an online venue open to the public where practitioners can discover, share, discuss, and improve upon open source tools, solutions, and processes that support privacy engineering and risk management.
Created a privacy tool? Have a use case to share? Post it or collaborate on other contributions in the space.
Interested in tools or use cases for de-identification and privacy risk assessment? Browse the contributions.
What is NIST's Privacy Engineering Collaboration Space?