End-to-End Encryption & HIPAA with Firebase | End to End Machine Learning

GDG San Francisco
Wed, Sep 12, 2018, 6:00 PM (PDT)

About this event

Agenda :
6:00pm - 6:30pm Check-in and networking over food and drinks
6:30pm: Talks
Implement End-to-End Encryption & HIPAA with Firebase
End to End Machine Learning

Talk: Implement End-to-End Encryption & HIPAA with Firebase
Description: Many developers see Firebase as a prototyping platform, which the platform way outgrew by now with a total of 18 products covering pretty much everything a large production app needs. In this talk, David Szabo will introduce about an open source project to implement end-to-end encryption on top of Firebase/Firestore, making Firebase one of the most secure cloud platforms out there. End-to-End Encryption also enables healthcare apps to run encrypted chats on the platform that meet HIPAA's requirements. The talk will cover the basic principle of how an end-to-end encrypted key management works, how keys can be distributed securely between users with open source libraries and how end-users can own the keys without noticing any extra overhead. A sample iOS and Android app/source will be used to demonstrate parts of the solution and outline how HIPAA deals with data encryption.

Talk: End to End Machine Learning
Description: We will start by developing a ML model using TensorFlow, training and deploying it on Google Cloud and then finally use it to get inferences.

About the Speakers:

David Szabo is a Privacy activist & crypto(graphy) nerd: I'm working on making and end to data breaches. In my third startup, Virgil Security, I'm building a framework for developers to simplify the implementation of perfect user privacy in healthcare, IoT and other products. Earlier in my career, I spent 12 years at Microsoft across 4 countries in various engineering, UX, business and leadership roles.

Vikram Tiwari is co-founder of Omni Labs based in San Francisco which aims to bring data analytics and machine learning in marketing space. He is also a GDE for Google Cloud and focuses on big data and machine learning topics. Other than work he is involved with various communities in open source and local tech meetups.

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