In this short paper, we outline the design of Tumult Analytics, a Python...
We propose AIM, a novel algorithm for differentially private synthetic d...
This work presents a systematic benchmark of differentially private synt...
Many differentially private algorithms for answering database queries in...
We propose a general approach for differentially private synthetic data
...
This article describes a proposed differentially private (DP) algorithms...
In this work we describe the High-Dimensional Matrix Mechanism (HDMM), a...
We propose a new mechanism to accurately answer a user-provided set of l...
Data collected about individuals is regularly used to make decisions tha...
Many reinforcement learning applications involve the use of data that is...
Many privacy mechanisms reveal high-level information about a data
distr...
The adoption of differential privacy is growing but the complexity of
de...
Differentially private algorithms for answering sets of predicate counti...
We often have to rank items with multiple attributes in a dataset. A typ...
Algorithmic decisions often result in scoring and ranking individuals to...
We investigate the problem of learning discrete, undirected graphical mo...
Probabilistic databases play a crucial role in the management and
unders...