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Abigail

@abigailgentle.com

CS PhD at @sydney.edu.au. Working on Differential Privacy. Interested in TCS and maths, particularly learning, testing and statistics

Posts Replies Media

Abigail @abigailgentle.com · 10/03/2026

Step one in understanding adversarially robust streaming: being able to remember which one of these papers is which.

Four papers, titled:
- A Framework for Adversarial Streaming Via Differential Privacy and Difference Estimators
- A Framework for Adversarially Robust Streaming Algorithms
- Adversarially Robust Streaming via Dense--Sparse Trade-offs
- Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters

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Abigail @abigailgentle.com · 05/08/2025

lunch with a colleague

Photograph of an Australian magpie perched on an outdoor lunch table

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Abigail @abigailgentle.com · 05/05/2025

The 70s and 80s had way more of a randomised response boom than I ever imagined. These authors imagined the topic being taught in introductory statistics

Cover of the book "Randomized Response: Theory and Techniques" by Arijit Chaudhuri and Rahul Mukerjee"

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Abigail @abigailgentle.com · 02/05/2025

I've been trying out Typst a little and I'm glad to see them taking a definitive stance on the superior epsilon

$The symbol latex calls "\varepsilon" is registered under the name, "epsilon" by Typst, while the latex default "\epsilon" is "epsilon.alt"$

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Abigail @abigailgentle.com · 04/04/2025

This form of writing out derivations in full sentences is so charming

Proof from Ryser (1963), where each line of the derivations has a line of text saying "and, hence, but also, whence it follows..." and so on.

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