11 citations · 30 across the 8 of their papers we have counts for
3 papers · 1 filter
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy
Skye Berghel, Philip Bohannon, Damien Desfontaines +10
In this short paper, we outline the design of Tumult Analytics, a Python framework for differential privacy used at institutions such as the U.S. Census Bureau, the Wikimedia Found…
Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers
Samuel Haney, Damien Desfontaines, Luke Hartman +2
Despite being raised as a problem over ten years ago, the imprecision of floating point arithmetic continues to cause privacy failures in the implementations of differentially priv…
Online Paging with Heterogeneous Cache Slots
Marek Chrobak, Samuel Haney, Mehraneh Liaee +4
It is natural to generalize the online -Server problem by allowing each request to specify not only a point , but also a subset of servers that may serve it. For uniform…