Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Morten Dahl

Morten Dahl
Co-founder and Research Scientist, Dropout Labs

Morten is co-founder and research scientist at Dropout Labs, a startup building a platform for secure, privacy-preserving machine learning to manage the sensitive, competitive, and regulatory nature of data. He is also lead developer on tf-encrypted, an open source project for integrating and experimenting with privacy-preserving machine learning directly in TensorFlow. With a background in cryptography and privacy, Morten has spent recent years applying and adapting techniques from these fields to machine learning, focusing on practical tools and concrete applications in hope of making the field more accessible to practitioners.


1:50pm2:30pm Thursday, April 18, 2019
Location: Mercury Rotunda
Morten Dahl (Dropout Labs)
Machine learning applied to health care or otherwise sensitive data may be blocked if privacy is not adequately addressed. We review modern cryptographic techniques such as homomorphic encryption and multi-party computation. Finally, we show how data scientists can get started with privacy-preserving techniques today, without needing to master the cryptography. Read more.