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Theory and Practice of Differential Privacy 2019

While I’m a relative newcomer to differential privacy (my first paper on it was only in 2017), I’ve found the community to be a pleasure to interact with: paradoxically, simultaneously tight-knit yet highly welcoming to newcomers. I partially credit this culture to the number of workshops and programs which bring people together, including, but not limited to, a BIRS workshop, the Privacy Tools project at Harvard, a semester at the Simons Institute, the forthcoming Shonan workshop, and the Theory and Practice of Differential Privacy (TPDP) Workshop.

I’m writing this post to draw attention to the imminent deadline of TPDP 2019, co-located with CCS 2019 in London. I’ll spare you the full details (click the link for more information), but most pressing is the deadline tomorrow, June 21, 2019, anywhere on Earth (let me know if this presents hardship for you, and I can pass concerns on to the chair). Essentially anything related to the theory or practice of differential privacy is welcome. Submissions are limited to four pages in length and are lightly refereed, based on originality, relevance, interest, and clarity. There are no published proceedings, and previously published results are welcome. If you’ve been looking to get to know the community, consider either submitting or attending the workshop!


Hello World!

Welcome to my blog! My name is Gautam Kamath, and I just started as an assistant professor in computer science at the University of Waterloo (for more info, see About).

This blog will, broadly speaking, be about topics relevant to those interested in the the theory of computer science, statistics, and machine learning. Posts will range from technical, to informational, to meta (read: basically whatever I want to write about, but I’ll do my best to keep it topical). Stay tuned!

The unofficial theme song of this blog is “Mathematics” by Mos Def.