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Differentially Private Bayesian Programming

Association for Computing Machinery (ACM) via YouTube

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Overview

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Explore a conference talk from CCS 2016 that delves into Differentially Private Bayesian Programming. Learn about this cutting-edge research presented by a team of experts from various institutions, including IMDEA Software Institute, University at Buffalo, Microsoft Research, and the University of Pennsylvania. Gain insights into how differential privacy can be applied to Bayesian programming, a topic of significant importance in computer and communications security. Discover the latest advancements in this field as presented at the 23rd ACM Conference on Computer and Communications Security, held at the prestigious Hofburg Palace in Vienna, Austria.

Syllabus

CCS 2016 - Differentially Private Bayesian Programming

Taught by

ACM CCS

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