Privacy Issues with Machine Learning
Privacy Issues with Machine Learning: Fears, Facts, and Opportunities by Chris Clifton - Machine Learning Summer School at Purdue, 2011. Increasing collection of data, and increased ability of machines to understand it, have lead to highly public privacy concerns. Call it "data mining" instead of "machine learning", and you might even find your funding cut... This talk will briefly review the history and legal background of privacy issues in machine learning. We will then look at a sampling of specific challenges and solutions where privacy concerns and machine learning interact. Each will be capped with a discussion of new research opportunities and what it takes to work in the area.
|Privacy Issues with Machine Learning: Fears, Facts, and Opportunities|
Machine Learning Summer School at Purdue, 2011