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Thursday, October 3 • 3:55pm - 4:15pm
Data Automation- Privacy Preserving Machine Learning and Analytics

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Privacy Preserving Machine Learning and Analytics
One of the key challenges in deploying machine learning (ML) at scale is how to help data owners learn from their data while protecting their privacy. This issue has become more pressing with the advent of regulations such as the General Data Protection Regulation. It might seem as though "privacy-preserving machine learning" would be a self-contradiction: ML wants data, while privacy hides data. Researchers from academia and industry have been marrying ideas from cryptography and machine learning to provide the seemingly paradoxical ability to learn from data without seeing it, and to learn aggregate properties of populations without learning about any particular individual. In this talk we will review three privacy-preserving ML techniques--homomorphic encryption, multi-party computation, and differential privacy--and review the recent rapid progress that has been made in all three as they transition from research topics into production tools for data scientists working with sensitive data.

Speakers
avatar for Casimir Wierzynski, PhD

Casimir Wierzynski, PhD

Senior Director AI Products Group, Intel
Casimir Wierzynski is Senior Director, Office of the CTO, in the Artificial Intelligence Product Group at Intel. He leads research efforts to identify, synthesize, and incubate emerging technologies that will enable the next generation of AI systems. Before joining Intel in 2017... Read More →

Chairs
JM

Jeff Milton

Associate Director, Ionis Pharmaceuticals
Jeff Milton has over 20 years of bioinformatics and software development experience in both academic and industry settings. He began his career at Molecular Simulations Inc (now Biovia) developing bioinformatics tools before the first draft of the Human Genome. In 2005 he moved to... Read More →


Thursday October 3, 2019 3:55pm - 4:15pm
Theater Ballroom (5th Fl) - Courtyard Boston Downtown 275 Tremont Street, Boston, MA 02116