A Simpler Explanation of Differential Privacy

Win-Vector Blog 2015-10-13

Summary:

Differential privacy was originally developed to facilitate secure analysis over sensitive data, with mixed success. It’s back in the news again now, with exciting results from Cynthia Dwork, et. al. (see references at the end of the article) that apply results from differential privacy to machine learning. In this article we’ll work through the definition … Continue reading A Simpler Explanation of Differential Privacy

Link:

http://www.win-vector.com/blog/2015/10/a-simpler-explanation-of-differential-privacy/

From feeds:

Statistics and Visualization » Win-Vector Blog

Tags:

data science

Authors:

Nina Zumel

Date tagged:

10/13/2015, 18:16

Date published:

10/02/2015, 14:44