Ted

I no longer use Twitter.
Come say hi on Mastodon 🐘 or Bluesky 🦋

[Ted @TedOnPrivacy]

Looking for a friendly, accessible way to learn about differential privacy? 🧐 Prefer simple explanations to ugly equations? 😇

Introducing my ✨ newly revamped ✨ blog post series about differential privacy, now with an intro page & table of contents 🌈
https://t.co/bMmRjc1r1w

[Ted @TedOnPrivacy]

Hahahaha I'm hearing that posts that mention other social networks by name are de-prioritized in "for you" timelines. What a loser move 🤣

Anyway I'm over there ⤵️

[Ted @TedOnPrivacy]

I now have a presence on Bluesky: https://t.co/d35MbIeXzO 🦋

If your main presence is on Bluesky, it'd be fantastic if you could follow https://t.co/jZuvdZDnme, so your posts are also mirrored on Mastodon, and I can follow you from there 💖

[Ted @TedOnPrivacy]

Super excited about this ✨ new blog post ✨, where I try to offer a super simple & intuitive explanation of the exponential mechanism, a fundamental building block in differential privacy 🧱

Feedback welcome! 💝
https://t.co/SSqnOqDTAi

[Ted @TedOnPrivacy]

@ggharibi__ @Wikimedia @uscensusbureau Do you know of any publicly available information about this kind of deployment? I've heard some talk in academic circles but I don't know whether anything has been shipped to real products.

[Ted @TedOnPrivacy]

Updated my list of real-world deployments of differential privacy! 🚀

Changelog:
- Added the @Wikimedia pageview release 🌐
- Added two releases by @uscensusbureau 🇺🇸
- Added details on a COVID-19 release from Google 💉
- Various maintenance fixes 🛠️
https://t.co/eIEeD2XDwR

[Ted @TedOnPrivacy]

@PierreTholoniat @TumultLabs Yes indeed — I wrote the post long before this paper was on arXiv but it was published afterwards ^^ I'll try to find time to edit it next week to capture these results.

[Ted @TedOnPrivacy]

Thanks a ton to @thegautamkamath, @ccanonne_, and @shortstein for their feedback and their help publishing this!

[Ted @TedOnPrivacy]

New, by me: what do we know about differential privacy composition theorems? What's missing, and would be useful to folks who are building practical DP software? 🔧

This blog post surveys existing results and raises a bunch of overlooked open problems. Feedback welcome! 💖

[Ted @TedOnPrivacy]

New blog post co-written by yours truly! In which we look at data clean rooms, what they do, what they often don't do, and why that can be a Problem™ 😬

Feedback super welcome as always! 🌈

[hal @TWlTTERDOTEDU]

first arxiv preprint ever🫣 “Publishing Wikipedia usage data with strong privacy guarantees,” which i’ll be presenting at TPDP 2023 in a few weeks

https://t.co/WGBkhD3qCY

[USENIX Association @usenix]

Hear it at 2023 USENIX Conference on Privacy Engineering Practice and Respect: *Privacy-Preserving Analytics on the Ground* presented by Ryan Steed (Carnegie Mellon University). View the program and register now: https://t.co/jd2OmHutvb #pepr23

[PETS @PET_Symposium]

The 2023 Caspar Bowden PET Award winner is: "The 2020 Census Disclosure Avoidance System TopDown Algorithm" #pets23

[Ted @TedOnPrivacy]

@HVitamines Thanks a ton for looking into this — I'll dive into your write-up this week and get back to you!

[Ted @TedOnPrivacy]

And now for something different: during a customer engagement, we stumbled upon a natural, but surprisingly tricky open problem in differential privacy. We couldn't figure it out, so we posted a simplified version of it as an open problem on https://t.co/rRMj4lWcGb 👀

[Differential Privacy @DiffPriv]

Open problem - Better privacy guarantees for larger groups
https://t.co/uCShjk9cM2

[Ted @TedOnPrivacy]

@HVitamines Hi, thanks! To analyze the privacy guarantees of this mechanism under ρ-zCDP, one has to calculate the Rényi divergence of two Gaussian distributions of different variances. This is the hard part, unless we've missed something obvious?

[Ted @TedOnPrivacy]

@PET_Symposium @TumultLabs More info in the paper → https://t.co/HdjFD4pQtf 🎓

And check out the full @PET_Symposium program; there it a ton of fantastic work in there: https://t.co/1wRf1me8Cl ✨

[Ted @TedOnPrivacy]

If you're at @PET_Symposium next week, don't miss Marika Swanberg's talk about her research at @TumultLabs last summer: a novel DP mechanism for partition selection which, in contrast to prior work, scales horizontally 📈

In collaboration with Sam Haney & yours truly 😊

[Katharina Koerner @KatharinaKoern1]

"When we want to protect individuals whose data is distributed across multiple rows, protecting individual rows is not enough." @TumultLabs introduces privacy IDs, .. "privacy identifiers enable the protection of individuals across large datasets, no matter how often they appear"

[Ted @TedOnPrivacy]

@const_charlie The mechanism is likely not optimal, but it still makes sense. The question is, though: can you prove a good per-group zCDP guarantee?

[Ted @TedOnPrivacy]

@const_charlie Thanks for the update! I had this on my list as things to check but didn't get around to it yet.

[Ted @TedOnPrivacy]

Many thanks to @thegautamkamath, @thejonullman and @shortstein for the helpful comments and the help with editing & publication ❤️