Resources page in User Guide about docs.smartnoise.org HOT 6 CLOSED

The two above are what I would consider the canonical level 0 and level 1 introductions.

• On the complexity of DP: https://privacytools.seas.harvard.edu/files/privacytools/files/complexityprivacy_1.pdf
  • what I would consider a level 2 introduction to a bunch of concepts in the field
• Laplace mechanism: https://people.csail.mit.edu/asmith/PS/sensitivity-tcc-final.pdf
• Snapping mechanism and how floating-point numbers and the laplace mechanism leak:
  https://www.microsoft.com/en-us/research/wp-content/uploads/2012/10/lsbs.pdf
• Exponential mechanism: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/mdviadp.pdf
• Geometric mechanism: https://arxiv.org/pdf/1709.05396.pdf (not the first geometric mech paper, but more approachable)
• More on sample/aggregate, and quantiles: https://cs-people.bu.edu/ads22//pubs/2011/stoc194-smith.pdf
• Gradient descent: https://arxiv.org/pdf/1607.00133.pdf
• Renyi DP: https://arxiv.org/pdf/1702.07476.pdf
• zCDP: https://arxiv.org/pdf/1605.02065.pdf

from docs.smartnoise.org.

• Nice intro level presentation: https://www2.census.gov/cac/nac/meetings/2019-05/garfinkel-privacy-confidentiality-protection.pdf
• More resources: https://simson.net/page/Differential_privacy

MS Broadband paper: https://arxiv.org/pdf/2103.14035.pdf

from docs.smartnoise.org.

From Salil:
https://privacytools.seas.harvard.edu/courses-educational-materials

from docs.smartnoise.org.

Can we already put the "Resources" page up on our doc site and/or our website?

from docs.smartnoise.org.

The doc site is a bit in flux (we're working on moving the source to the main repo at opendp/opendp#170 ) but I don't see why these resources couldn't go on the website, like you said.

While I'm commenting, Here are a few more resources from Salil and Mike from Slack:

• Two more resources: this chapter is more up-to-date and a bit more aimed at practitioners than the primer: https://admindatahandbook.mit.edu/book/latest/diffpriv.html
• And differentialprivacy.org has more resources too
• https://uvm-plaid.github.io/programming-dp/notebooks/cover.html

from docs.smartnoise.org.

Closing in favor of opendp/opendp#272

Some more responses via Slack:

We have a list of resources here (click on "Learning about DP -> Books and Surveys"): https://privacytools.seas.harvard.edu/courses-educational-materials

Two more resources: this chapter is more up-to-date and a bit more aimed at practitioners than the primer: https://admindatahandbook.mit.edu/book/latest/diffpriv.html

And https://differentialprivacy.org has more resources too

from docs.smartnoise.org.