/ammi-fairness-and-privacy

AMMI Course on Fairness and Privacy in Machine Learning

Primary LanguageJupyter Notebook

ammi-fairness-and-privacy

AMMI Course on Fairness and Privacy in Machine Learning

Kigali, Rwanda

2019

Additional Resources

Differential Privacy

BOOKS:

  1. The Algorithmic Foundations of Differential Privacy, Cynthia Dwork and Aaron Roth http://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf

  2. The Complexity of Differential Privacy, Salil Vadhan https://privacytools.seas.harvard.edu/publications/complexity-differential-privacy

SUPPLEMENTARY LECTURE NOTES:

  1. BIU 2017 Summer School https://cyber.biu.ac.il/event/the-7th-biu-winter-school/

  2. Aarin Roth's Course (Fall 2011) http://www.cis.upenn.edu/~aaroth/courses/privacyF11.html

  3. Sasho Nikolov's Course http://www.cs.toronto.edu/~anikolov/CSC2412F18/CSC2412.html

  4. Roth's course (2017) Privacy and Adaptive Data Analysis https://adaptivedataanalysis.com