From d4f90b5ae6055e659f2730968401f772723f0d9f Mon Sep 17 00:00:00 2001 From: Justin Hsu Date: Wed, 2 Oct 2019 12:07:24 -0500 Subject: [PATCH] Update course materials. --- inspiration.md | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/inspiration.md b/inspiration.md index a5d1cba..f2729a9 100644 --- a/inspiration.md +++ b/inspiration.md @@ -1,7 +1,13 @@ # Materials -* Cynthia Dwork and Aaron Roth. Algorithmic Foundations of Differential Privacy. +* Dwork and Roth. [Algorithmic Foundations of Differential Privacy](https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf). +* Boneh and Shoup. [A Graduate Course in Applied Cryptography](https://crypto.stanford.edu/~dabo/cryptobook/). +* Evans, Kolesnikov, and Rosulek. [A Pragmatic Introduction to Secure Multi-Party Computation](https://securecomputation.org/). +* Barocas, Hardt, and Narayanan. [Fairness and Machine Learning](https://fairmlbook.org/). # Other courses -* CIS 800 (UPenn): https://www.cis.upenn.edu/~aaroth/courses/privacyF11.html -* CS 229r (Harvard): https://cseweb.ucsd.edu/~dstefan/cse291-winter18/ -* CSE 291 (UCSD): https://cseweb.ucsd.edu/~dstefan/cse291-winter18/ +- CSE 291: [Language-Based Security](https://cseweb.ucsd.edu/~dstefan/cse291-winter18/) (Deian Stefan, UC San Diego) +- CSE 711: [Topics in Differential Privacy](https://www.acsu.buffalo.edu/~gaboardi/teaching/CSE711-spring16.html) (Marco Gaboardi, University at Buffalo) +- CS 800: [The Algorithmic Foundations of Data Privacy](https://www.cis.upenn.edu/~aaroth/courses/privacyF11.html) (Aaron Roth, UPenn) +- CS 229r: [Mathematical Approaches to Data Privacy](http://people.seas.harvard.edu/~salil/diffprivcourse/spring13/) (Salil Vadhan, Harvard) +- CS 294: [Fairness in Machine Learning](https://fairmlclass.github.io/) (Moritz Hardt, UC Berkeley) +- CS 598: [Special Topics in Adversarial Machine Learning](http://www.crystal-boli.com/teaching.html) (Bo Li, UIUC)