Differential Privacy Introduction ================================= A presentation for the Data Science pop-up in Seattle, October 2015. Covers the following outline: - Motivation for privacy - simple attacks. - Definition of Differential Privacy. - Connection to Statistical Learning - Example: Learning with Counts - Example: Re-usable Hold Out