Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Vinod Vaikuntanathan

Vinod Vaikuntanathan
MIT and Duality Technologies

Vinod Vaikuntanathan is an associate professor of computer science within MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and a cofounder of Duality Technologies. His research focuses on lattice-based cryptography and the theory and practice of computing on encrypted data. Vinod holds a PhD in computer science from MIT, where he received the George M. Sprowls Award for the best computer science thesis. His teaching and research in cybersecurity was recently recognized with MIT’s Harold E. Edgerton Faculty Achievement Award, a Sloan Faculty Fellowship, a Microsoft Faculty Fellowship, and a DARPA Young Faculty Award.

Sessions

11:00am–11:40am Wednesday, March 27, 2019
Machine learning on encrypted data: Challenges and opportunities
Data Science, Machine Learning & AI, Expo Hall
 Location: Expo Hall
Secondary topics:  AI and Data technologies in the cloud, Security and Privacy
Alon Kaufman (Duality), Vinod Vaikuntanathan (MIT and Duality Technologies)
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Alon Kaufman and Vinod Vaikuntanathan discuss the challenges and opportunities of machine learning on encrypted data and describe the state of the art in this space. Read more.