Audra McMillan

According to our database1, Audra McMillan authored at least 18 papers between 2016 and 2023.

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Bibliography

2023
Samplable Anonymous Aggregation for Private Federated Data Analysis.
CoRR, 2023

Differentially Private Heavy Hitter Detection using Federated Analytics.
CoRR, 2023

Stronger Privacy Amplification by Shuffling for Renyi and Approximate Differential Privacy.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

2022
Differentially Private Simple Linear Regression.
Proc. Priv. Enhancing Technol., 2022

Private Federated Statistics in an Interactive Setting.
CoRR, 2022

Instance-Optimal Differentially Private Estimation.
CoRR, 2022

Mean Estimation with User-level Privacy under Data Heterogeneity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling.
Proceedings of the 3rd Symposium on Foundations of Responsible Computing, 2022

2021
Non-parametric Differentially Private Confidence Intervals for the Median.
CoRR, 2021

Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

2020
Controlling Privacy Loss in Survey Sampling (Working Paper).
CoRR, 2020

Private Identity Testing for High-Dimensional Distributions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
The structure of optimal private tests for simple hypotheses.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

Online Learning via the Differential Privacy Lens.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Local differential privacy for physical sensor data and sparse recovery.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

Property Testing For Differential Privacy.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Online Learning via Differential Privacy.
CoRR, 2017

2016
When is Nontrivial Estimation Possible for Graphons and Stochastic Block Models?
CoRR, 2016


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