Protecting Sensitive Data using Differential Privacy | AI Show

Using data for machine learning and analytics can potentially expose private data. How can we leverage data while ensuring that private information remains private? In this session, we'll discuss how differential privacy can be used to preserve privacy. We'll demonstrate how you can use newly released open source system, WhiteNoise, to put DP into your applications. Learn More: Whitenoise PaperOpen Differential PrivacyAzure Machine Learning How ToThe AI Show's Favorite links: Don't miss new episodes, subscribe to the AI Show Create a Free account (Azure) Deep Learning vs. Machine Learning Get Started with Machine Learning