81 citations · 139 across the 15 of their papers we have counts for
5 papers · 1 filter
DP-Auditorium: a Large Scale Library for Auditing Differential Privacy
William Kong, Andrés Muñoz Medina, Mónica Ribero +1
New regulations and increased awareness of data privacy have led to the deployment of new and more efficient differentially private mechanisms across public institutions and indust…
Measuring Re-identification Risk
CJ Carey, Travis Dick, Alessandro Epasto +8
Compact user representations (such as embeddings) form the backbone of personalization services. In this work, we present a new theoretical framework to measure re-identification r…
Smooth Anonymity for Sparse Graphs
Alessandro Epasto, Hossein Esfandiari, Vahab Mirrokni +1
When working with user data providing well-defined privacy guarantees is paramount. In this work, we aim to manipulate and share an entire sparse dataset with a third party private…
A Joint Exponential Mechanism For Differentially Private Top-
Jennifer Gillenwater, Matthew Joseph, Andrés Muñoz Medina +1
We present a differentially private algorithm for releasing the sequence of elements with the highest counts from a data domain of elements. The algorithm is a "joint" inst…
Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism
Andrés Muñoz Medina, Jenny Gillenwater
We propose and analyze a general-purpose dataset-distance-based utility function family, Duff, for differential privacy's exponential mechanism. Given a particular dataset and a st…