An Equivalence Between Private Classification and Online Prediction

Explore a groundbreaking 23-minute IEEE presentation that delves into the fascinating equivalence between private classification and online prediction. Discover the insights of authors Mark Bun from Boston University, Roi Livni from Tel-Aviv University, and Shay Moran from Google AI Princeton as they unravel the connections between these two crucial areas of machine learning and data privacy. Gain a deeper understanding of the implications this equivalence has on both fields and its potential impact on future research and applications in artificial intelligence and data science.

An Equivalence Between Private Classification and Online Prediction