4 citations · 12 across the 17 of their papers we have counts for
4 papers · 1 filter
The Bounded Gaussian Mechanism for Differential Privacy
Bo Chen, Matthew Hale
The Gaussian mechanism is one differential privacy mechanism commonly used to protect numerical data. However, it may be ill-suited to some applications because it has unbounded su…
Edge Differential Privacy for Algebraic Connectivity of Graphs
Bo Chen, Calvin Hawkins, Kasra Yazdani +1
Graphs are the dominant formalism for modeling multi-agent systems. The algebraic connectivity of a graph is particularly important because it provides the convergence rates of con…
The Dirichlet Mechanism for Differential Privacy on the Unit Simplex
Parham Gohari, Bo Wu, Matthew Hale +1
As members of a network share more information with each other and network providers, sensitive data leakage raises privacy concerns. To address this need for a class of problems,…
Towards Differential Privacy for Symbolic Systems
Austin Jones, Kevin Leahy, Matthew Hale
In this paper, we develop a privacy implementation for symbolic control systems. Such systems generate sequences of non-numerical data, and these sequences can be represented by wo…