Math Encounters: Smartphone Privacy — J. Nelson on March 9, 2022 @MuseumOfMathematics
Math Encounters: Smartphone Privacy — J. Nelson on March 9, 2022  @MuseumOfMathematics
Uploaded May 2022 | Updated September 2026, 53 minutes ago
Math Encounters: "Smartphone Privacy: From Fourier transforms to projective geometry and more" with Jelani Nelson on March 9, 2022

Many of us use smartphones and rely on tools like auto-complete and spelling auto-correct to make using these devices more pleasant, but building these tools creates a conundrum. On the one hand, machine-learning algorithms require data to "learn," but on the other hand, who among us is willing to send a carbon copy of all our text messages to phone manufacturers to provide that data? Join UC Berkeley computer scientist and engineer Jelani Nelson as he shares how mathematics can be used to construct schemes that, perhaps paradoxically, provably maintain user privacy while still allowing such machine-learning algorithms to learn from our data. Special introduction by Christos Papadimitriou, Donovan Family Professor of Computer Science at Columbia University and author of Logicomix: An epic search for truth.

Math Encounters is a public presentation series celebrating the spectacular world of mathematics, presented by the Simons Foundation and the National Museum of Mathematics.

For further information, call the National Museum of Mathematics at
212-542-0566 or e-mail mathencounters@momath.org.
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Math Encounters: Smartphone Privacy — J. Nelson on March 9, 2022

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