11 citations · 30 across the 8 of their papers we have counts for
9 papers
Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters
Samuel Haney, Michael Shoemate, Grace Tian +4
In this paper, we study the concurrent composition of interactive mechanisms with adaptively chosen privacy-loss parameters. In this setting, the adversary can interleave queries t…
DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection
Marika Swanberg, Damien Desfontaines, Samuel Haney
Partition selection, or set union, is an important primitive in differentially private mechanism design: in a database where each user contributes a list of items, the goal is to p…
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…
Retracting Graphs to Cycles
Samuel Haney, Mehraneh Liaee, Bruce M. Maggs +3
We initiate the algorithmic study of retracting a graph into a cycle in the graph, which seeks a mapping of the graph vertices to the cycle vertices, so as to minimize the maximum…