Audra McMillan
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 122 citations into it; #18,124 of 35,345 by trust here, #25,040 by citations
- Privacy & Security — 62 citations into it
- Statistics and Probability — 21 citations into it
- Computational Theory and Mathematics — 18 citations into it
- Computer Science Applications — 16 citations into it
- Management Science and Operations Research — 16 citations into it
- Sociology and Political Science — 13 citations into it
- Computer Networks and Communications — 11 citations into it
Whom Audra McMillan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Frank McSherry
- Kobbi Nissim
- Gilles Barthe
- Adam D. Smith
- Marco Gaboardi
- Ú. Erlingsson
- Jason Reed
- Salil P. Vadhan
- Ilya Mironov
Who trusts Audra McMillan overall
Papers from Audra McMillan's perspective
Ordered by how strongly the researchers Audra McMillan trusts endorse each paper. Same corpus, a different order for every researcher.
- Differentially Private Empirical Risk Minimization
- Calibrating Noise to Sensitivity in Private Data Analysis
- What Can We Learn Privately?
- Pseudorandom Bits for Polynomials
- Differential Privacy
- Preserving Statistical Validity in Adaptive Data Analysis
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Local Privacy and Statistical Minimax Rates
- Revealing information while preserving privacy
- Concentrated Differential Privacy
Their papers
- The structure of optimal private tests for simple hypotheses (2018) — 90 citations
- Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling (2020) — 198 citations
- Online Learning via the Differential Privacy Lens (2017) — 14 citations
- Property Testing For Differential Privacy (2018) — 38 citations