October 28–31, 2019
Ulfar Erlingsson

Ulfar Erlingsson
Research Scientist, Google Brain


Úlfar Erlingsson is a research scientist on the Brain team at Google, working primarily on privacy and security of deep learning systems. Previously, Úlfar led computer security research at Google and was a researcher at Microsoft Research, associate professor at Reykjavik University, cofounder and CTO of the internet security startup GreenBorder Technologies, and director of privacy protection at deCODE genetics. Úlfar holds a PhD in computer science from Cornell University.


5:00pm5:40pm Wednesday, October 30, 2019
Location: Grand Ballroom E
Ulfar Erlingsson (Google Brain)
Average rating: *****
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When evaluating ML models, it can be difficult to tell the difference between what the models have generalized from the training and what the models have simply memorized. And that difference can be crucial in some ML tasks, such as when ML models are trained using sensitive data. Úlfar Erlingsson explains how to offer strong privacy guarantees for ML training data by using TensorFlow Privacy. Read more.
  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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