papers-we-love_papers-we-love

mirror of https://github.com/papers-we-love/papers-we-love.git synced 2026-03-02 03:40:31 +00:00

Files

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

2014-05-05 14:11:18 -04:00

README.md

2014-11-05 18:56:18 -05:00

📜 A Mathematical Theory of Communication
Differential Privacy
- 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?