papers-we-love_papers-we-love/information_theory/README.md
Julian Squires def239ec27 Add link to Dwork's seminal Differential Privacy
An essential topic in our machine learning and big data-hungry world.
2014-11-05 18:56:18 -05:00

7 lines
375 B
Markdown

* :scroll: [A Mathematical Theory of Communication](http://cm.bell-labs.com/cm/ms/what/shannonday/shannon1948.pdf)
* [Differential Privacy](http://www.msr-waypoint.com/pubs/64346/dwork.pdf)
- How do we quantify the exposure an individual faces from being
included in a statistical dataset? How do we anonymize aggregated
data in a way that has formal guarantees?