research
∙
06/13/2023
(Amplified) Banded Matrix Factorization: A unified approach to private training
Matrix factorization (MF) mechanisms for differential privacy (DP) have ...
share
research
∙
02/02/2023
Convergence of Gradient Descent with Linearly Correlated Noise and Applications to Differentially Private Learning
We study stochastic optimization with linearly correlated noise. Our stu...
research
∙
01/29/2022
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data
We propose AIM, a novel algorithm for differentially private synthetic d...
research
∙
12/16/2021
Benchmarking Differentially Private Synthetic Data Generation Algorithms
This work presents a systematic benchmark of differentially private synt...
research
∙
09/13/2021
Relaxed Marginal Consistency for Differentially Private Query Answering
Many differentially private algorithms for answering database queries in...
research
∙
08/11/2021
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
We propose a general approach for differentially private synthetic data ...
research
∙
06/23/2021
HDMM: Optimizing error of high-dimensional statistical queries under differential privacy
In this work we describe the High-Dimensional Matrix Mechanism (HDMM), a...
research
∙
10/23/2020
Permute-and-Flip: A new mechanism for differentially private selection
We consider the problem of differentially private selection. Given a fin...
research
∙
02/05/2020
A workload-adaptive mechanism for linear queries under local differential privacy
We propose a new mechanism to accurately answer a user-provided set of l...
research
∙
05/29/2019
Fair Decision Making using Privacy-Protected Data
Data collected about individuals is regularly used to make decisions tha...
research
∙
01/26/2019
Graphical-model based estimation and inference for differential privacy
Many privacy mechanisms reveal high-level information about a data distr...
research
∙
08/10/2018
Ektelo: A Framework for Defining Differentially-Private Computations
The adoption of differential privacy is growing but the complexity of de...
research
∙
08/10/2018
Optimizing error of high-dimensional statistical queries under differential privacy
Differentially private algorithms for answering sets of predicate counti...
research
∙
06/14/2017
