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🤫 celebrates

Audra McMillan

Research scientist at Apple, statistics under differential privacy

EngineeringiOSmacOS
The work

What we are celebrating, specifically.

  • Differentially Private Heavy Hitter Detection
  • Privacy amplification research
  • Learning Iconic Scenes with Differential Privacy

Apple

Research Scientist · current

Why

Why we celebrate them.

Audra works on the hard statistical core of private computation, so features can learn from everyone while knowing about no one. Her papers on heavy hitters and shuffling are exactly the kind of quiet math that keeps millions of people safe.

Sources — their own pages, so you can check us

  • Personal site
  • Heavy hitter detection paper
This page is yours

Audra McMillan, this belongs to you.

We built this from your public work because we think it deserves celebrating. You did not ask us to, so the only fair thing is that you decide what happens to it. Claim it and it is yours to edit. Ask us to change something and we will. Ask us to take it down and it is gone within 72 hours — free, no account needed, and nobody will try to talk you out of it.

Claim or remove this pageEveryone we celebrate