3 citations · 12 across the 9 of their papers we have counts for
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cs.CR2022
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…
math.OC2022
Node and Edge Differential Privacy for Graph Laplacian Spectra: Mechanisms and Scaling Laws
Calvin Hawkins, Bo Chen, Kasra Yazdani +1
This paper develops a framework for privatizing the spectrum of the graph Laplacian of an undirected graph using differential privacy. We consider two privacy formulations. The fir…
cs.CR2022★ 1 cited
Differential Privacy for Symbolic Systems with Application to Markov Chains
Bo Chen, Kevin Leahy, Austin Jones +1
Data-driven systems are gathering increasing amounts of data from users, and sensitive user data requires privacy protections. In some cases, the data gathered is non-numerical or…